Overview

Dataset statistics

Number of variables227
Number of observations1925
Missing cells225248
Missing cells (%)51.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory1.9 KiB

Variable types

NUM182
CAT39
BOOL6

Reproduction

Analysis started2021-05-28 09:06:19.934563
Analysis finished2021-05-28 09:06:22.480233
Duration2.55 seconds
Versionpandas-profiling v2.7.1
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml
ALBUMIN_MEDIAN has 1104 (57.4%) missing values Missing
ALBUMIN_MEAN has 1104 (57.4%) missing values Missing
ALBUMIN_MIN has 1104 (57.4%) missing values Missing
ALBUMIN_MAX has 1104 (57.4%) missing values Missing
ALBUMIN_DIFF has 1104 (57.4%) missing values Missing
BE_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
BE_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
BE_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
BE_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
BE_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
BE_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
BE_VENOUS_MEAN has 1104 (57.4%) missing values Missing
BE_VENOUS_MIN has 1104 (57.4%) missing values Missing
BE_VENOUS_MAX has 1104 (57.4%) missing values Missing
BE_VENOUS_DIFF has 1104 (57.4%) missing values Missing
BIC_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
BIC_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
BIC_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
BIC_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
BIC_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
BIC_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
BIC_VENOUS_MEAN has 1104 (57.4%) missing values Missing
BIC_VENOUS_MIN has 1104 (57.4%) missing values Missing
BIC_VENOUS_MAX has 1104 (57.4%) missing values Missing
BIC_VENOUS_DIFF has 1104 (57.4%) missing values Missing
BILLIRUBIN_MEDIAN has 1104 (57.4%) missing values Missing
BILLIRUBIN_MEAN has 1104 (57.4%) missing values Missing
BILLIRUBIN_MIN has 1104 (57.4%) missing values Missing
BILLIRUBIN_MAX has 1104 (57.4%) missing values Missing
BILLIRUBIN_DIFF has 1104 (57.4%) missing values Missing
BLAST_MEDIAN has 1104 (57.4%) missing values Missing
BLAST_MEAN has 1104 (57.4%) missing values Missing
BLAST_MIN has 1104 (57.4%) missing values Missing
BLAST_MAX has 1104 (57.4%) missing values Missing
BLAST_DIFF has 1104 (57.4%) missing values Missing
CALCIUM_MEDIAN has 1104 (57.4%) missing values Missing
CALCIUM_MEAN has 1104 (57.4%) missing values Missing
CALCIUM_MIN has 1104 (57.4%) missing values Missing
CALCIUM_MAX has 1104 (57.4%) missing values Missing
CALCIUM_DIFF has 1104 (57.4%) missing values Missing
CREATININ_MEDIAN has 1104 (57.4%) missing values Missing
CREATININ_MEAN has 1104 (57.4%) missing values Missing
CREATININ_MIN has 1104 (57.4%) missing values Missing
CREATININ_MAX has 1104 (57.4%) missing values Missing
CREATININ_DIFF has 1104 (57.4%) missing values Missing
FFA_MEDIAN has 1104 (57.4%) missing values Missing
FFA_MEAN has 1104 (57.4%) missing values Missing
FFA_MIN has 1104 (57.4%) missing values Missing
FFA_MAX has 1104 (57.4%) missing values Missing
FFA_DIFF has 1104 (57.4%) missing values Missing
GGT_MEDIAN has 1104 (57.4%) missing values Missing
GGT_MEAN has 1104 (57.4%) missing values Missing
GGT_MIN has 1104 (57.4%) missing values Missing
GGT_MAX has 1104 (57.4%) missing values Missing
GGT_DIFF has 1104 (57.4%) missing values Missing
GLUCOSE_MEDIAN has 1104 (57.4%) missing values Missing
GLUCOSE_MEAN has 1104 (57.4%) missing values Missing
GLUCOSE_MIN has 1104 (57.4%) missing values Missing
GLUCOSE_MAX has 1104 (57.4%) missing values Missing
GLUCOSE_DIFF has 1104 (57.4%) missing values Missing
HEMATOCRITE_MEDIAN has 1104 (57.4%) missing values Missing
HEMATOCRITE_MEAN has 1104 (57.4%) missing values Missing
HEMATOCRITE_MIN has 1104 (57.4%) missing values Missing
HEMATOCRITE_MAX has 1104 (57.4%) missing values Missing
HEMATOCRITE_DIFF has 1104 (57.4%) missing values Missing
HEMOGLOBIN_MEDIAN has 1104 (57.4%) missing values Missing
HEMOGLOBIN_MEAN has 1104 (57.4%) missing values Missing
HEMOGLOBIN_MIN has 1104 (57.4%) missing values Missing
HEMOGLOBIN_MAX has 1104 (57.4%) missing values Missing
HEMOGLOBIN_DIFF has 1104 (57.4%) missing values Missing
INR_MEDIAN has 1104 (57.4%) missing values Missing
INR_MEAN has 1104 (57.4%) missing values Missing
INR_MIN has 1104 (57.4%) missing values Missing
INR_MAX has 1104 (57.4%) missing values Missing
INR_DIFF has 1104 (57.4%) missing values Missing
LACTATE_MEDIAN has 1104 (57.4%) missing values Missing
LACTATE_MEAN has 1104 (57.4%) missing values Missing
LACTATE_MIN has 1104 (57.4%) missing values Missing
LACTATE_MAX has 1104 (57.4%) missing values Missing
LACTATE_DIFF has 1104 (57.4%) missing values Missing
LEUKOCYTES_MEDIAN has 1104 (57.4%) missing values Missing
LEUKOCYTES_MEAN has 1104 (57.4%) missing values Missing
LEUKOCYTES_MIN has 1104 (57.4%) missing values Missing
LEUKOCYTES_MAX has 1104 (57.4%) missing values Missing
LEUKOCYTES_DIFF has 1104 (57.4%) missing values Missing
LINFOCITOS_MEDIAN has 1104 (57.4%) missing values Missing
LINFOCITOS_MEAN has 1104 (57.4%) missing values Missing
LINFOCITOS_MIN has 1104 (57.4%) missing values Missing
LINFOCITOS_MAX has 1104 (57.4%) missing values Missing
LINFOCITOS_DIFF has 1104 (57.4%) missing values Missing
NEUTROPHILES_MEDIAN has 1104 (57.4%) missing values Missing
NEUTROPHILES_MEAN has 1104 (57.4%) missing values Missing
NEUTROPHILES_MIN has 1104 (57.4%) missing values Missing
NEUTROPHILES_MAX has 1104 (57.4%) missing values Missing
NEUTROPHILES_DIFF has 1104 (57.4%) missing values Missing
P02_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
P02_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
P02_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
P02_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
P02_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
P02_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
P02_VENOUS_MEAN has 1104 (57.4%) missing values Missing
P02_VENOUS_MIN has 1104 (57.4%) missing values Missing
P02_VENOUS_MAX has 1104 (57.4%) missing values Missing
P02_VENOUS_DIFF has 1104 (57.4%) missing values Missing
PC02_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
PC02_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
PC02_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
PC02_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
PC02_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
PC02_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
PC02_VENOUS_MEAN has 1104 (57.4%) missing values Missing
PC02_VENOUS_MIN has 1104 (57.4%) missing values Missing
PC02_VENOUS_MAX has 1104 (57.4%) missing values Missing
PC02_VENOUS_DIFF has 1104 (57.4%) missing values Missing
PCR_MEDIAN has 1104 (57.4%) missing values Missing
PCR_MEAN has 1104 (57.4%) missing values Missing
PCR_MIN has 1104 (57.4%) missing values Missing
PCR_MAX has 1104 (57.4%) missing values Missing
PCR_DIFF has 1104 (57.4%) missing values Missing
PH_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
PH_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
PH_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
PH_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
PH_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
PH_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
PH_VENOUS_MEAN has 1104 (57.4%) missing values Missing
PH_VENOUS_MIN has 1104 (57.4%) missing values Missing
PH_VENOUS_MAX has 1104 (57.4%) missing values Missing
PH_VENOUS_DIFF has 1104 (57.4%) missing values Missing
PLATELETS_MEDIAN has 1104 (57.4%) missing values Missing
PLATELETS_MEAN has 1104 (57.4%) missing values Missing
PLATELETS_MIN has 1104 (57.4%) missing values Missing
PLATELETS_MAX has 1104 (57.4%) missing values Missing
PLATELETS_DIFF has 1104 (57.4%) missing values Missing
POTASSIUM_MEDIAN has 1104 (57.4%) missing values Missing
POTASSIUM_MEAN has 1104 (57.4%) missing values Missing
POTASSIUM_MIN has 1104 (57.4%) missing values Missing
POTASSIUM_MAX has 1104 (57.4%) missing values Missing
POTASSIUM_DIFF has 1104 (57.4%) missing values Missing
SAT02_ARTERIAL_MEDIAN has 1104 (57.4%) missing values Missing
SAT02_ARTERIAL_MEAN has 1104 (57.4%) missing values Missing
SAT02_ARTERIAL_MIN has 1104 (57.4%) missing values Missing
SAT02_ARTERIAL_MAX has 1104 (57.4%) missing values Missing
SAT02_ARTERIAL_DIFF has 1104 (57.4%) missing values Missing
SAT02_VENOUS_MEDIAN has 1104 (57.4%) missing values Missing
SAT02_VENOUS_MEAN has 1104 (57.4%) missing values Missing
SAT02_VENOUS_MIN has 1104 (57.4%) missing values Missing
SAT02_VENOUS_MAX has 1104 (57.4%) missing values Missing
SAT02_VENOUS_DIFF has 1104 (57.4%) missing values Missing
SODIUM_MEDIAN has 1104 (57.4%) missing values Missing
SODIUM_MEAN has 1104 (57.4%) missing values Missing
SODIUM_MIN has 1104 (57.4%) missing values Missing
SODIUM_MAX has 1104 (57.4%) missing values Missing
SODIUM_DIFF has 1104 (57.4%) missing values Missing
TGO_MEDIAN has 1104 (57.4%) missing values Missing
TGO_MEAN has 1104 (57.4%) missing values Missing
TGO_MIN has 1104 (57.4%) missing values Missing
TGO_MAX has 1104 (57.4%) missing values Missing
TGO_DIFF has 1104 (57.4%) missing values Missing
TGP_MEDIAN has 1104 (57.4%) missing values Missing
TGP_MEAN has 1104 (57.4%) missing values Missing
TGP_MIN has 1104 (57.4%) missing values Missing
TGP_MAX has 1104 (57.4%) missing values Missing
TGP_DIFF has 1104 (57.4%) missing values Missing
TTPA_MEDIAN has 1104 (57.4%) missing values Missing
TTPA_MEAN has 1104 (57.4%) missing values Missing
TTPA_MIN has 1104 (57.4%) missing values Missing
TTPA_MAX has 1104 (57.4%) missing values Missing
TTPA_DIFF has 1104 (57.4%) missing values Missing
UREA_MEDIAN has 1104 (57.4%) missing values Missing
UREA_MEAN has 1104 (57.4%) missing values Missing
UREA_MIN has 1104 (57.4%) missing values Missing
UREA_MAX has 1104 (57.4%) missing values Missing
UREA_DIFF has 1104 (57.4%) missing values Missing
DIMER_MEDIAN has 1104 (57.4%) missing values Missing
DIMER_MEAN has 1104 (57.4%) missing values Missing
DIMER_MIN has 1104 (57.4%) missing values Missing
DIMER_MAX has 1104 (57.4%) missing values Missing
DIMER_DIFF has 1104 (57.4%) missing values Missing
BLOODPRESSURE_DIASTOLIC_MEAN has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_MEAN has 685 (35.6%) missing values Missing
HEART_RATE_MEAN has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_MEAN has 748 (38.9%) missing values Missing
TEMPERATURE_MEAN has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_MEAN has 686 (35.6%) missing values Missing
BLOODPRESSURE_DIASTOLIC_MEDIAN has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_MEDIAN has 685 (35.6%) missing values Missing
HEART_RATE_MEDIAN has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_MEDIAN has 748 (38.9%) missing values Missing
TEMPERATURE_MEDIAN has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_MEDIAN has 686 (35.6%) missing values Missing
BLOODPRESSURE_DIASTOLIC_MIN has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_MIN has 685 (35.6%) missing values Missing
HEART_RATE_MIN has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_MIN has 748 (38.9%) missing values Missing
TEMPERATURE_MIN has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_MIN has 686 (35.6%) missing values Missing
BLOODPRESSURE_DIASTOLIC_MAX has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_MAX has 685 (35.6%) missing values Missing
HEART_RATE_MAX has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_MAX has 748 (38.9%) missing values Missing
TEMPERATURE_MAX has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_MAX has 686 (35.6%) missing values Missing
BLOODPRESSURE_DIASTOLIC_DIFF has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_DIFF has 685 (35.6%) missing values Missing
HEART_RATE_DIFF has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_DIFF has 748 (38.9%) missing values Missing
TEMPERATURE_DIFF has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_DIFF has 686 (35.6%) missing values Missing
BLOODPRESSURE_DIASTOLIC_DIFF_REL has 685 (35.6%) missing values Missing
BLOODPRESSURE_SISTOLIC_DIFF_REL has 685 (35.6%) missing values Missing
HEART_RATE_DIFF_REL has 685 (35.6%) missing values Missing
RESPIRATORY_RATE_DIFF_REL has 748 (38.9%) missing values Missing
TEMPERATURE_DIFF_REL has 694 (36.1%) missing values Missing
OXYGEN_SATURATION_DIFF_REL has 686 (35.6%) missing values Missing
tags has 1415 (73.5%) missing values Missing
BILLIRUBIN_MEDIAN is highly skewed (γ1 = 20.92643371) Skewed
BILLIRUBIN_MEAN is highly skewed (γ1 = 20.92643371) Skewed
BILLIRUBIN_MIN is highly skewed (γ1 = 20.92643371) Skewed
BILLIRUBIN_MAX is highly skewed (γ1 = 20.92643371) Skewed
TGO_MEDIAN is highly skewed (γ1 = 24.11902911) Skewed
TGO_MEAN is highly skewed (γ1 = 24.11902911) Skewed
TGO_MIN is highly skewed (γ1 = 24.11902911) Skewed
TGO_MAX is highly skewed (γ1 = 24.11902911) Skewed
TGP_MEDIAN is highly skewed (γ1 = 25.7056426) Skewed
TGP_MEAN is highly skewed (γ1 = 25.7056426) Skewed
TGP_MIN is highly skewed (γ1 = 25.7056426) Skewed
TGP_MAX is highly skewed (γ1 = 25.7056426) Skewed
Index has unique values Unique
TEMPERATURE_MEAN has 27 (1.4%) zeros Zeros
TEMPERATURE_MEDIAN has 64 (3.3%) zeros Zeros
BLOODPRESSURE_SISTOLIC_MIN has 62 (3.2%) zeros Zeros
RESPIRATORY_RATE_MIN has 20 (1.0%) zeros Zeros

Variables

Index
Real number (ℝ≥0)

UNIQUE
Distinct count1925
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean962.0
Minimum0
Maximum1924
Zeros1
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:22.568147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96.2
Q1481
median962
Q31443
95-th percentile1827.8
Maximum1924
Range1924
Interquartile range (IQR)962

Descriptive statistics

Standard deviation555.8439529
Coefficient of variation (CV)0.5778003669
Kurtosis-1.2
Mean962
Median Absolute Deviation (MAD)481
Skewness0
Sum1851850
Variance308962.5
2021-05-28T13:36:22.681578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1 0.1%
 
483 1 0.1%
 
659 1 0.1%
 
657 1 0.1%
 
655 1 0.1%
 
653 1 0.1%
 
651 1 0.1%
 
649 1 0.1%
 
647 1 0.1%
 
645 1 0.1%
 
Other values (1915) 1915 99.5%
 
ValueCountFrequency (%) 
0 1 0.1%
 
1 1 0.1%
 
2 1 0.1%
 
3 1 0.1%
 
4 1 0.1%
 
ValueCountFrequency (%) 
1924 1 0.1%
 
1923 1 0.1%
 
1922 1 0.1%
 
1921 1 0.1%
 
1920 1 0.1%
 

PATIENT_VISIT_IDENTIFIER
Real number (ℝ≥0)

Distinct count385
Unique (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.0
Minimum0
Maximum384
Zeros5
Zeros (%)0.3%
Memory size15.2 KiB
2021-05-28T13:36:22.788321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q196
median192
Q3288
95-th percentile365
Maximum384
Range384
Interquartile range (IQR)192

Descriptive statistics

Standard deviation111.1684306
Coefficient of variation (CV)0.5790022426
Kurtosis-1.200015584
Mean192
Median Absolute Deviation (MAD)96
Skewness0
Sum369600
Variance12358.41996
2021-05-28T13:36:22.898938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 5 0.3%
 
193 5 0.3%
 
263 5 0.3%
 
262 5 0.3%
 
261 5 0.3%
 
260 5 0.3%
 
259 5 0.3%
 
258 5 0.3%
 
257 5 0.3%
 
256 5 0.3%
 
Other values (375) 1875 97.4%
 
ValueCountFrequency (%) 
0 5 0.3%
 
1 5 0.3%
 
2 5 0.3%
 
3 5 0.3%
 
4 5 0.3%
 
ValueCountFrequency (%) 
384 5 0.3%
 
383 5 0.3%
 
382 5 0.3%
 
381 5 0.3%
 
380 5 0.3%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1025
1
900
ValueCountFrequency (%) 
0 1025 53.2%
 
1 900 46.8%
 

AGE_PERCENTIL
Categorical

Distinct count10
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
20th
215
10th
205
30th
205
40th
200
70th
195
Other values (5)
905
ValueCountFrequency (%) 
20th 215 11.2%
 
10th 205 10.6%
 
30th 205 10.6%
 
40th 200 10.4%
 
70th 195 10.1%
 
50th 190 9.9%
 
80th 190 9.9%
 
Above 90th 185 9.6%
 
60th 185 9.6%
 
90th 155 8.1%
 

GENDER
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1215
1
710
ValueCountFrequency (%) 
0 1215 63.1%
 
1 710 36.9%
 

HTN
Boolean

Distinct count2
Unique (%)0.1%
Missing5
Missing (%)0.3%
Memory size15.2 KiB
0
1511
1
409
(Missing)
 
5
ValueCountFrequency (%) 
0 1511 78.5%
 
1 409 21.2%
 
(Missing) 5 0.3%
 
Distinct count2
Unique (%)0.1%
Missing5
Missing (%)0.3%
Memory size15.2 KiB
0
1616
1
 
304
(Missing)
 
5
ValueCountFrequency (%) 
0 1616 83.9%
 
1 304 15.8%
 
(Missing) 5 0.3%
 

OTHER
Boolean

Distinct count2
Unique (%)0.1%
Missing5
Missing (%)0.3%
Memory size15.2 KiB
1
1555
0
365
(Missing)
 
5
ValueCountFrequency (%) 
1 1555 80.8%
 
0 365 19.0%
 
(Missing) 5 0.3%
 

ALBUMIN_MEDIAN
Real number (ℝ)

MISSING
Distinct count32
Unique (%)3.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.5285274697095966
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros8
Zeros (%)0.4%
Memory size15.2 KiB
2021-05-28T13:36:23.020225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.05263157895
Q10.6052631579
median0.6052631579
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240995181
Coefficient of variation (CV)0.4240073241
Kurtosis10.57445333
Mean0.5285274697
Median Absolute Deviation (MAD)0
Skewness-3.15079474
Sum433.9210526
Variance0.05022059403
2021-05-28T13:36:23.137416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0 8 0.4%
 
0.4736842105 7 0.4%
 
0.3684210526 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MEAN
Real number (ℝ)

MISSING
Distinct count32
Unique (%)3.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.5285274697095966
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros8
Zeros (%)0.4%
Memory size15.2 KiB
2021-05-28T13:36:23.257863image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.05263157895
Q10.6052631579
median0.6052631579
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240995181
Coefficient of variation (CV)0.4240073241
Kurtosis10.57445333
Mean0.5285274697
Median Absolute Deviation (MAD)0
Skewness-3.15079474
Sum433.9210526
Variance0.05022059403
2021-05-28T13:36:23.363988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0 8 0.4%
 
0.4736842105 7 0.4%
 
0.3684210526 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MIN
Real number (ℝ)

MISSING
Distinct count32
Unique (%)3.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.5285274697095966
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros8
Zeros (%)0.4%
Memory size15.2 KiB
2021-05-28T13:36:23.473015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.05263157895
Q10.6052631579
median0.6052631579
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240995181
Coefficient of variation (CV)0.4240073241
Kurtosis10.57445333
Mean0.5285274697
Median Absolute Deviation (MAD)0
Skewness-3.15079474
Sum433.9210526
Variance0.05022059403
2021-05-28T13:36:23.581503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0 8 0.4%
 
0.4736842105 7 0.4%
 
0.3684210526 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MAX
Real number (ℝ)

MISSING
Distinct count32
Unique (%)3.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.5285274697095966
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros8
Zeros (%)0.4%
Memory size15.2 KiB
2021-05-28T13:36:23.750635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.05263157895
Q10.6052631579
median0.6052631579
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240995181
Coefficient of variation (CV)0.4240073241
Kurtosis10.57445333
Mean0.5285274697
Median Absolute Deviation (MAD)0
Skewness-3.15079474
Sum433.9210526
Variance0.05022059403
2021-05-28T13:36:23.866471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0 8 0.4%
 
0.4736842105 7 0.4%
 
0.3684210526 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BE_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count56
Unique (%)6.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9634331420531894
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:23.988257image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-0.7112299465
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1608695122
Coefficient of variation (CV)-0.1669752733
Kurtosis57.29255746
Mean-0.9634331421
Median Absolute Deviation (MAD)0
Skewness6.637981078
Sum-790.9786096
Variance0.02587899995
2021-05-28T13:36:24.110823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
-0.6470588235 2 0.1%
 
Other values (46) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count56
Unique (%)6.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9634331420531894
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:24.229958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-0.7112299465
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1608695122
Coefficient of variation (CV)-0.1669752733
Kurtosis57.29255746
Mean-0.9634331421
Median Absolute Deviation (MAD)0
Skewness6.637981078
Sum-790.9786096
Variance0.02587899995
2021-05-28T13:36:24.346073image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
-0.6470588235 2 0.1%
 
Other values (46) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count56
Unique (%)6.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9634331420531894
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:24.466680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-0.7112299465
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1608695122
Coefficient of variation (CV)-0.1669752733
Kurtosis57.29255746
Mean-0.9634331421
Median Absolute Deviation (MAD)0
Skewness6.637981078
Sum-790.9786096
Variance0.02587899995
2021-05-28T13:36:24.575804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
-0.6470588235 2 0.1%
 
Other values (46) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count56
Unique (%)6.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9634331420531894
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:24.695625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-0.7112299465
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1608695122
Coefficient of variation (CV)-0.1669752733
Kurtosis57.29255746
Mean-0.9634331421
Median Absolute Deviation (MAD)0
Skewness6.637981078
Sum-790.9786096
Variance0.02587899995
2021-05-28T13:36:24.807374image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
-0.6470588235 2 0.1%
 
Other values (46) 52 2.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BE_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count63
Unique (%)7.7%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9311209035080447
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:24.922102image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.9581151832
95-th percentile-0.6020942408
Maximum1
Range2
Interquartile range (IQR)0.04188481675

Descriptive statistics

Standard deviation0.1695086063
Coefficient of variation (CV)-0.1820479013
Kurtosis31.83524382
Mean-0.9311209035
Median Absolute Deviation (MAD)0
Skewness4.542858673
Sum-764.4502618
Variance0.02873316761
2021-05-28T13:36:25.028311image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
-0.7696335079 8 0.4%
 
Other values (53) 145 7.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
-0.02617801047 1 0.1%
 

BE_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count63
Unique (%)7.7%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9311209035080447
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:25.182457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.9581151832
95-th percentile-0.6020942408
Maximum1
Range2
Interquartile range (IQR)0.04188481675

Descriptive statistics

Standard deviation0.1695086063
Coefficient of variation (CV)-0.1820479013
Kurtosis31.83524382
Mean-0.9311209035
Median Absolute Deviation (MAD)0
Skewness4.542858673
Sum-764.4502618
Variance0.02873316761
2021-05-28T13:36:25.328671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
-0.7696335079 8 0.4%
 
Other values (53) 145 7.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
-0.02617801047 1 0.1%
 

BE_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count63
Unique (%)7.7%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9311209035080447
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:25.449608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.9581151832
95-th percentile-0.6020942408
Maximum1
Range2
Interquartile range (IQR)0.04188481675

Descriptive statistics

Standard deviation0.1695086063
Coefficient of variation (CV)-0.1820479013
Kurtosis31.83524382
Mean-0.9311209035
Median Absolute Deviation (MAD)0
Skewness4.542858673
Sum-764.4502618
Variance0.02873316761
2021-05-28T13:36:25.608406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
-0.7696335079 8 0.4%
 
Other values (53) 145 7.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
-0.02617801047 1 0.1%
 

BE_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count63
Unique (%)7.7%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9311209035080447
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:25.799825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.9581151832
95-th percentile-0.6020942408
Maximum1
Range2
Interquartile range (IQR)0.04188481675

Descriptive statistics

Standard deviation0.1695086063
Coefficient of variation (CV)-0.1820479013
Kurtosis31.83524382
Mean-0.9311209035
Median Absolute Deviation (MAD)0
Skewness4.542858673
Sum-764.4502618
Variance0.02873316761
2021-05-28T13:36:25.905263image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
-0.7696335079 8 0.4%
 
Other values (53) 145 7.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
-0.02617801047 1 0.1%
 

BE_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BIC_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31092362080746255
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:26.025539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3658536585
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.2195121951
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.100255795
Coefficient of variation (CV)-0.3224450902
Kurtosis55.6132824
Mean-0.3109236208
Median Absolute Deviation (MAD)0
Skewness3.792312268
Sum-255.2682927
Variance0.01005122442
2021-05-28T13:36:26.128931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
-0.07317073171 5 0.3%
 
Other values (16) 26 1.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31092362080746255
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:26.240351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3658536585
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.2195121951
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.100255795
Coefficient of variation (CV)-0.3224450902
Kurtosis55.6132824
Mean-0.3109236208
Median Absolute Deviation (MAD)0
Skewness3.792312268
Sum-255.2682927
Variance0.01005122442
2021-05-28T13:36:26.359214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
-0.07317073171 5 0.3%
 
Other values (16) 26 1.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31092362080746255
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:26.502212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3658536585
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.2195121951
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.100255795
Coefficient of variation (CV)-0.3224450902
Kurtosis55.6132824
Mean-0.3109236208
Median Absolute Deviation (MAD)0
Skewness3.792312268
Sum-255.2682927
Variance0.01005122442
2021-05-28T13:36:26.604386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
-0.07317073171 5 0.3%
 
Other values (16) 26 1.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31092362080746255
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:26.724757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3658536585
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.2195121951
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.100255795
Coefficient of variation (CV)-0.3224450902
Kurtosis55.6132824
Mean-0.3109236208
Median Absolute Deviation (MAD)0
Skewness3.792312268
Sum-255.2682927
Variance0.01005122442
2021-05-28T13:36:26.833958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
-0.07317073171 5 0.3%
 
Other values (16) 26 1.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BIC_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31184456789756704
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:26.970352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4634146341
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1188122811
Coefficient of variation (CV)-0.3809983991
Kurtosis23.95874251
Mean-0.3118445679
Median Absolute Deviation (MAD)0
Skewness1.401979948
Sum-256.0243902
Variance0.01411635815
2021-05-28T13:36:27.083422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
-0.07317073171 10 0.5%
 
Other values (16) 39 2.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31184456789756704
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:27.199822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4634146341
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1188122811
Coefficient of variation (CV)-0.3809983991
Kurtosis23.95874251
Mean-0.3118445679
Median Absolute Deviation (MAD)0
Skewness1.401979948
Sum-256.0243902
Variance0.01411635815
2021-05-28T13:36:27.308592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
-0.07317073171 10 0.5%
 
Other values (16) 39 2.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31184456789756704
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:27.495487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4634146341
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1188122811
Coefficient of variation (CV)-0.3809983991
Kurtosis23.95874251
Mean-0.3118445679
Median Absolute Deviation (MAD)0
Skewness1.401979948
Sum-256.0243902
Variance0.01411635815
2021-05-28T13:36:27.651382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
-0.07317073171 10 0.5%
 
Other values (16) 39 2.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.31184456789756704
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:27.849386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4634146341
Q1-0.3170731707
median-0.3170731707
Q3-0.3170731707
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1188122811
Coefficient of variation (CV)-0.3809983991
Kurtosis23.95874251
Mean-0.3118445679
Median Absolute Deviation (MAD)0
Skewness1.401979948
Sum-256.0243902
Variance0.01411635815
2021-05-28T13:36:27.998114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
-0.07317073171 10 0.5%
 
Other values (16) 39 2.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BILLIRUBIN_MEDIAN
Real number (ℝ)

MISSING
SKEWED
Distinct count95
Unique (%)11.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9459275137020049
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:28.133873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9853479853
Q1-0.9665096808
median-0.9389499389
Q3-0.9389499389
95-th percentile-0.9319727891
Maximum1
Range2
Interquartile range (IQR)0.02755974185

Descriptive statistics

Standard deviation0.07661013176
Coefficient of variation (CV)-0.0809894317
Kurtosis515.2684503
Mean-0.9459275137
Median Absolute Deviation (MAD)0
Skewness20.92643371
Sum-776.6064887
Variance0.005869112288
2021-05-28T13:36:28.244245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
-0.9759288331 10 0.5%
 
Other values (85) 293 15.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 
-0.7592883307 1 0.1%
 

BILLIRUBIN_MEAN
Real number (ℝ)

MISSING
SKEWED
Distinct count95
Unique (%)11.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9459275137020049
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:28.447777image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9853479853
Q1-0.9665096808
median-0.9389499389
Q3-0.9389499389
95-th percentile-0.9319727891
Maximum1
Range2
Interquartile range (IQR)0.02755974185

Descriptive statistics

Standard deviation0.07661013176
Coefficient of variation (CV)-0.0809894317
Kurtosis515.2684503
Mean-0.9459275137
Median Absolute Deviation (MAD)0
Skewness20.92643371
Sum-776.6064887
Variance0.005869112288
2021-05-28T13:36:28.555151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
-0.9759288331 10 0.5%
 
Other values (85) 293 15.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 
-0.7592883307 1 0.1%
 

BILLIRUBIN_MIN
Real number (ℝ)

MISSING
SKEWED
Distinct count95
Unique (%)11.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9459275137020049
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:28.675668image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9853479853
Q1-0.9665096808
median-0.9389499389
Q3-0.9389499389
95-th percentile-0.9319727891
Maximum1
Range2
Interquartile range (IQR)0.02755974185

Descriptive statistics

Standard deviation0.07661013176
Coefficient of variation (CV)-0.0809894317
Kurtosis515.2684503
Mean-0.9459275137
Median Absolute Deviation (MAD)0
Skewness20.92643371
Sum-776.6064887
Variance0.005869112288
2021-05-28T13:36:28.783905image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
-0.9759288331 10 0.5%
 
Other values (85) 293 15.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 
-0.7592883307 1 0.1%
 

BILLIRUBIN_MAX
Real number (ℝ)

MISSING
SKEWED
Distinct count95
Unique (%)11.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9459275137020049
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:28.902078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9853479853
Q1-0.9665096808
median-0.9389499389
Q3-0.9389499389
95-th percentile-0.9319727891
Maximum1
Range2
Interquartile range (IQR)0.02755974185

Descriptive statistics

Standard deviation0.07661013176
Coefficient of variation (CV)-0.0809894317
Kurtosis515.2684503
Mean-0.9459275137
Median Absolute Deviation (MAD)0
Skewness20.92643371
Sum-776.6064887
Variance0.005869112288
2021-05-28T13:36:29.011265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
-0.9759288331 10 0.5%
 
Other values (85) 293 15.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 
-0.7592883307 1 0.1%
 

BILLIRUBIN_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BLAST_MEDIAN
Real number (ℝ)

MISSING
Distinct count8
Unique (%)1.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9944236540926376
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:29.124944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09799966903
Coefficient of variation (CV)-0.09854921353
Kurtosis394.1967684
Mean-0.9944236541
Median Absolute Deviation (MAD)0
Skewness19.74266663
Sum-816.42182
Variance0.00960393513
2021-05-28T13:36:29.274657image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 

BLAST_MEAN
Real number (ℝ)

MISSING
Distinct count8
Unique (%)1.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9944236540926376
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:29.400647image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09799966903
Coefficient of variation (CV)-0.09854921353
Kurtosis394.1967684
Mean-0.9944236541
Median Absolute Deviation (MAD)0
Skewness19.74266663
Sum-816.42182
Variance0.00960393513
2021-05-28T13:36:29.504345image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 

BLAST_MIN
Real number (ℝ)

MISSING
Distinct count8
Unique (%)1.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9944236540926376
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:29.613592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09799966903
Coefficient of variation (CV)-0.09854921353
Kurtosis394.1967684
Mean-0.9944236541
Median Absolute Deviation (MAD)0
Skewness19.74266663
Sum-816.42182
Variance0.00960393513
2021-05-28T13:36:29.718916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 

BLAST_MAX
Real number (ℝ)

MISSING
Distinct count8
Unique (%)1.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9944236540926376
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:29.862006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-1
95-th percentile-1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09799966903
Coefficient of variation (CV)-0.09854921353
Kurtosis394.1967684
Mean-0.9944236541
Median Absolute Deviation (MAD)0
Skewness19.74266663
Sum-816.42182
Variance0.00960393513
2021-05-28T13:36:29.968901image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 

BLAST_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

CALCIUM_MEDIAN
Real number (ℝ)

MISSING
Distinct count48
Unique (%)5.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3303586964627504
Minimum-1.0
Maximum0.9999999999999996
Zeros3
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:30.077337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1224489796
Q10.306122449
median0.3571428571
Q30.3571428571
95-th percentile0.5102040816
Maximum1
Range2
Interquartile range (IQR)0.05102040816

Descriptive statistics

Standard deviation0.1262237831
Coefficient of variation (CV)0.3820810062
Kurtosis20.02013453
Mean0.3303586965
Median Absolute Deviation (MAD)0.01020408163
Skewness-1.971734234
Sum271.2244898
Variance0.01593244343
2021-05-28T13:36:30.179767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
0.2857142857 18 0.9%
 
Other values (38) 201 10.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MEAN
Real number (ℝ)

MISSING
Distinct count48
Unique (%)5.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3303586964627504
Minimum-1.0
Maximum0.9999999999999996
Zeros3
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:30.292915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1224489796
Q10.306122449
median0.3571428571
Q30.3571428571
95-th percentile0.5102040816
Maximum1
Range2
Interquartile range (IQR)0.05102040816

Descriptive statistics

Standard deviation0.1262237831
Coefficient of variation (CV)0.3820810062
Kurtosis20.02013453
Mean0.3303586965
Median Absolute Deviation (MAD)0.01020408163
Skewness-1.971734234
Sum271.2244898
Variance0.01593244343
2021-05-28T13:36:30.397389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
0.2857142857 18 0.9%
 
Other values (38) 201 10.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MIN
Real number (ℝ)

MISSING
Distinct count48
Unique (%)5.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3303586964627504
Minimum-1.0
Maximum0.9999999999999996
Zeros3
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:30.508262image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1224489796
Q10.306122449
median0.3571428571
Q30.3571428571
95-th percentile0.5102040816
Maximum1
Range2
Interquartile range (IQR)0.05102040816

Descriptive statistics

Standard deviation0.1262237831
Coefficient of variation (CV)0.3820810062
Kurtosis20.02013453
Mean0.3303586965
Median Absolute Deviation (MAD)0.01020408163
Skewness-1.971734234
Sum271.2244898
Variance0.01593244343
2021-05-28T13:36:30.607735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
0.2857142857 18 0.9%
 
Other values (38) 201 10.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MAX
Real number (ℝ)

MISSING
Distinct count48
Unique (%)5.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3303586964627504
Minimum-1.0
Maximum0.9999999999999996
Zeros3
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:30.715566image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1224489796
Q10.306122449
median0.3571428571
Q30.3571428571
95-th percentile0.5102040816
Maximum1
Range2
Interquartile range (IQR)0.05102040816

Descriptive statistics

Standard deviation0.1262237831
Coefficient of variation (CV)0.3820810062
Kurtosis20.02013453
Mean0.3303586965
Median Absolute Deviation (MAD)0.01020408163
Skewness-1.971734234
Sum271.2244898
Variance0.01593244343
2021-05-28T13:36:30.814875image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
0.2857142857 18 0.9%
 
Other values (38) 201 10.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

CREATININ_MEDIAN
Real number (ℝ)

MISSING
Distinct count158
Unique (%)19.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8910776263546304
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:30.926689image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9561217268
Q1-0.9306440198
median-0.9094125973
Q3-0.8867657466
95-th percentile-0.7721160651
Maximum1
Range2
Interquartile range (IQR)0.04387827318

Descriptive statistics

Standard deviation0.1159006295
Coefficient of variation (CV)-0.130067938
Kurtosis118.1365722
Mean-0.8910776264
Median Absolute Deviation (MAD)0.02264685067
Skewness9.099165351
Sum-731.5747312
Variance0.01343295592
2021-05-28T13:36:31.031457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
-0.9447983015 14 0.7%
 
Other values (148) 602 31.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 
-0.3205944798 1 0.1%
 

CREATININ_MEAN
Real number (ℝ)

MISSING
Distinct count158
Unique (%)19.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8910776263546304
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:31.265490image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9561217268
Q1-0.9306440198
median-0.9094125973
Q3-0.8867657466
95-th percentile-0.7721160651
Maximum1
Range2
Interquartile range (IQR)0.04387827318

Descriptive statistics

Standard deviation0.1159006295
Coefficient of variation (CV)-0.130067938
Kurtosis118.1365722
Mean-0.8910776264
Median Absolute Deviation (MAD)0.02264685067
Skewness9.099165351
Sum-731.5747312
Variance0.01343295592
2021-05-28T13:36:31.370415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
-0.9447983015 14 0.7%
 
Other values (148) 602 31.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 
-0.3205944798 1 0.1%
 

CREATININ_MIN
Real number (ℝ)

MISSING
Distinct count158
Unique (%)19.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8910776263546304
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:31.490800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9561217268
Q1-0.9306440198
median-0.9094125973
Q3-0.8867657466
95-th percentile-0.7721160651
Maximum1
Range2
Interquartile range (IQR)0.04387827318

Descriptive statistics

Standard deviation0.1159006295
Coefficient of variation (CV)-0.130067938
Kurtosis118.1365722
Mean-0.8910776264
Median Absolute Deviation (MAD)0.02264685067
Skewness9.099165351
Sum-731.5747312
Variance0.01343295592
2021-05-28T13:36:31.610001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
-0.9447983015 14 0.7%
 
Other values (148) 602 31.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 
-0.3205944798 1 0.1%
 

CREATININ_MAX
Real number (ℝ)

MISSING
Distinct count158
Unique (%)19.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8910776263546304
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:31.730137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9561217268
Q1-0.9306440198
median-0.9094125973
Q3-0.8867657466
95-th percentile-0.7721160651
Maximum1
Range2
Interquartile range (IQR)0.04387827318

Descriptive statistics

Standard deviation0.1159006295
Coefficient of variation (CV)-0.130067938
Kurtosis118.1365722
Mean-0.8910776264
Median Absolute Deviation (MAD)0.02264685067
Skewness9.099165351
Sum-731.5747312
Variance0.01343295592
2021-05-28T13:36:31.832828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
-0.9447983015 14 0.7%
 
Other values (148) 602 31.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 
-0.3205944798 1 0.1%
 

CREATININ_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

FFA_MEDIAN
Real number (ℝ)

MISSING
Distinct count119
Unique (%)14.5%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7232170451033507
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:31.947771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8635394456
Q1-0.7420042644
median-0.7420042644
Q3-0.7420042644
95-th percentile-0.526652452
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1712436499
Coefficient of variation (CV)-0.2367804397
Kurtosis36.70220309
Mean-0.7232170451
Median Absolute Deviation (MAD)0
Skewness5.408039778
Sum-593.761194
Variance0.02932438764
2021-05-28T13:36:32.052550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
-0.8166311301 6 0.3%
 
Other values (109) 226 11.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MEAN
Real number (ℝ)

MISSING
Distinct count119
Unique (%)14.5%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7232170451033507
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:32.167805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8635394456
Q1-0.7420042644
median-0.7420042644
Q3-0.7420042644
95-th percentile-0.526652452
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1712436499
Coefficient of variation (CV)-0.2367804397
Kurtosis36.70220309
Mean-0.7232170451
Median Absolute Deviation (MAD)0
Skewness5.408039778
Sum-593.761194
Variance0.02932438764
2021-05-28T13:36:32.279344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
-0.8166311301 6 0.3%
 
Other values (109) 226 11.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MIN
Real number (ℝ)

MISSING
Distinct count119
Unique (%)14.5%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7232170451033507
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:32.390743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8635394456
Q1-0.7420042644
median-0.7420042644
Q3-0.7420042644
95-th percentile-0.526652452
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1712436499
Coefficient of variation (CV)-0.2367804397
Kurtosis36.70220309
Mean-0.7232170451
Median Absolute Deviation (MAD)0
Skewness5.408039778
Sum-593.761194
Variance0.02932438764
2021-05-28T13:36:32.501870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
-0.8166311301 6 0.3%
 
Other values (109) 226 11.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MAX
Real number (ℝ)

MISSING
Distinct count119
Unique (%)14.5%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7232170451033507
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:32.610920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8635394456
Q1-0.7420042644
median-0.7420042644
Q3-0.7420042644
95-th percentile-0.526652452
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1712436499
Coefficient of variation (CV)-0.2367804397
Kurtosis36.70220309
Mean-0.7232170451
Median Absolute Deviation (MAD)0
Skewness5.408039778
Sum-593.761194
Variance0.02932438764
2021-05-28T13:36:32.713978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
-0.8166311301 6 0.3%
 
Other values (109) 226 11.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

GGT_MEDIAN
Real number (ℝ)

MISSING
Distinct count175
Unique (%)21.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9204028025999749
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:32.836546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9871495327
Q1-0.9585280374
median-0.9585280374
Q3-0.9567757009
95-th percentile-0.7511682243
Maximum1
Range2
Interquartile range (IQR)0.001752336449

Descriptive statistics

Standard deviation0.1523407793
Coefficient of variation (CV)-0.1655153362
Kurtosis62.51323441
Mean-0.9204028026
Median Absolute Deviation (MAD)0
Skewness6.927072758
Sum-755.6507009
Variance0.02320771304
2021-05-28T13:36:32.960242image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
-0.9894859813 5 0.3%
 
Other values (165) 282 14.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MEAN
Real number (ℝ)

MISSING
Distinct count175
Unique (%)21.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9204028025999749
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:33.072606image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9871495327
Q1-0.9585280374
median-0.9585280374
Q3-0.9567757009
95-th percentile-0.7511682243
Maximum1
Range2
Interquartile range (IQR)0.001752336449

Descriptive statistics

Standard deviation0.1523407793
Coefficient of variation (CV)-0.1655153362
Kurtosis62.51323441
Mean-0.9204028026
Median Absolute Deviation (MAD)0
Skewness6.927072758
Sum-755.6507009
Variance0.02320771304
2021-05-28T13:36:33.175870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
-0.9894859813 5 0.3%
 
Other values (165) 282 14.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MIN
Real number (ℝ)

MISSING
Distinct count175
Unique (%)21.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9204028025999749
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:33.288010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9871495327
Q1-0.9585280374
median-0.9585280374
Q3-0.9567757009
95-th percentile-0.7511682243
Maximum1
Range2
Interquartile range (IQR)0.001752336449

Descriptive statistics

Standard deviation0.1523407793
Coefficient of variation (CV)-0.1655153362
Kurtosis62.51323441
Mean-0.9204028026
Median Absolute Deviation (MAD)0
Skewness6.927072758
Sum-755.6507009
Variance0.02320771304
2021-05-28T13:36:33.391122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
-0.9894859813 5 0.3%
 
Other values (165) 282 14.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MAX
Real number (ℝ)

MISSING
Distinct count175
Unique (%)21.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9204028025999749
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:33.505956image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9871495327
Q1-0.9585280374
median-0.9585280374
Q3-0.9567757009
95-th percentile-0.7511682243
Maximum1
Range2
Interquartile range (IQR)0.001752336449

Descriptive statistics

Standard deviation0.1523407793
Coefficient of variation (CV)-0.1655153362
Kurtosis62.51323441
Mean-0.9204028026
Median Absolute Deviation (MAD)0
Skewness6.927072758
Sum-755.6507009
Variance0.02320771304
2021-05-28T13:36:33.609166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
-0.9894859813 5 0.3%
 
Other values (165) 282 14.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

GLUCOSE_MEDIAN
Real number (ℝ)

MISSING
Distinct count82
Unique (%)10.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8616938511194733
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:33.719190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median-0.8919925512
Q3-0.8919925512
95-th percentile-0.7318435754
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1157522569
Coefficient of variation (CV)-0.1343310698
Kurtosis108.2040839
Mean-0.8616938511
Median Absolute Deviation (MAD)0
Skewness8.696608777
Sum-707.4506518
Variance0.01339858497
2021-05-28T13:36:33.820859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
-0.8659217877 6 0.3%
 
Other values (72) 147 7.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 
-0.2067039106 2 0.1%
 

GLUCOSE_MEAN
Real number (ℝ)

MISSING
Distinct count82
Unique (%)10.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8616938511194733
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:33.937210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median-0.8919925512
Q3-0.8919925512
95-th percentile-0.7318435754
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1157522569
Coefficient of variation (CV)-0.1343310698
Kurtosis108.2040839
Mean-0.8616938511
Median Absolute Deviation (MAD)0
Skewness8.696608777
Sum-707.4506518
Variance0.01339858497
2021-05-28T13:36:34.039456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
-0.8659217877 6 0.3%
 
Other values (72) 147 7.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 
-0.2067039106 2 0.1%
 

GLUCOSE_MIN
Real number (ℝ)

MISSING
Distinct count82
Unique (%)10.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8616938511194733
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:34.147626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median-0.8919925512
Q3-0.8919925512
95-th percentile-0.7318435754
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1157522569
Coefficient of variation (CV)-0.1343310698
Kurtosis108.2040839
Mean-0.8616938511
Median Absolute Deviation (MAD)0
Skewness8.696608777
Sum-707.4506518
Variance0.01339858497
2021-05-28T13:36:34.249489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
-0.8659217877 6 0.3%
 
Other values (72) 147 7.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 
-0.2067039106 2 0.1%
 

GLUCOSE_MAX
Real number (ℝ)

MISSING
Distinct count82
Unique (%)10.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8616938511194733
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:34.357852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median-0.8919925512
Q3-0.8919925512
95-th percentile-0.7318435754
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1157522569
Coefficient of variation (CV)-0.1343310698
Kurtosis108.2040839
Mean-0.8616938511
Median Absolute Deviation (MAD)0
Skewness8.696608777
Sum-707.4506518
Variance0.01339858497
2021-05-28T13:36:34.464529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
-0.8659217877 6 0.3%
 
Other values (72) 147 7.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 
-0.2067039106 2 0.1%
 

GLUCOSE_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

HEMATOCRITE_MEDIAN
Real number (ℝ)

MISSING
Distinct count235
Unique (%)28.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.16081783987926954
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:34.729153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6268343816
Q1-0.2914046122
median-0.1320754717
Q3-0.002096436059
95-th percentile0.1823899371
Maximum1
Range2
Interquartile range (IQR)0.2893081761

Descriptive statistics

Standard deviation0.2385297817
Coefficient of variation (CV)-1.483229609
Kurtosis1.342423521
Mean-0.1608178399
Median Absolute Deviation (MAD)0.1341719078
Skewness-0.3639368361
Sum-132.0314465
Variance0.05689645676
2021-05-28T13:36:34.829130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
-0.3039832285 9 0.5%
 
Other values (225) 689 35.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MEAN
Real number (ℝ)

MISSING
Distinct count235
Unique (%)28.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.16081783987926954
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:34.945328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6268343816
Q1-0.2914046122
median-0.1320754717
Q3-0.002096436059
95-th percentile0.1823899371
Maximum1
Range2
Interquartile range (IQR)0.2893081761

Descriptive statistics

Standard deviation0.2385297817
Coefficient of variation (CV)-1.483229609
Kurtosis1.342423521
Mean-0.1608178399
Median Absolute Deviation (MAD)0.1341719078
Skewness-0.3639368361
Sum-132.0314465
Variance0.05689645676
2021-05-28T13:36:35.045694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
-0.3039832285 9 0.5%
 
Other values (225) 689 35.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MIN
Real number (ℝ)

MISSING
Distinct count235
Unique (%)28.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.16081783987926954
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:35.151632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6268343816
Q1-0.2914046122
median-0.1320754717
Q3-0.002096436059
95-th percentile0.1823899371
Maximum1
Range2
Interquartile range (IQR)0.2893081761

Descriptive statistics

Standard deviation0.2385297817
Coefficient of variation (CV)-1.483229609
Kurtosis1.342423521
Mean-0.1608178399
Median Absolute Deviation (MAD)0.1341719078
Skewness-0.3639368361
Sum-132.0314465
Variance0.05689645676
2021-05-28T13:36:35.252121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
-0.3039832285 9 0.5%
 
Other values (225) 689 35.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MAX
Real number (ℝ)

MISSING
Distinct count235
Unique (%)28.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.16081783987926954
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:35.359524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6268343816
Q1-0.2914046122
median-0.1320754717
Q3-0.002096436059
95-th percentile0.1823899371
Maximum1
Range2
Interquartile range (IQR)0.2893081761

Descriptive statistics

Standard deviation0.2385297817
Coefficient of variation (CV)-1.483229609
Kurtosis1.342423521
Mean-0.1608178399
Median Absolute Deviation (MAD)0.1341719078
Skewness-0.3639368361
Sum-132.0314465
Variance0.05689645676
2021-05-28T13:36:35.465175image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
-0.3039832285 9 0.5%
 
Other values (225) 689 35.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

HEMOGLOBIN_MEDIAN
Real number (ℝ)

MISSING
Distinct count117
Unique (%)14.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.2024719732304176
Minimum-1.0
Maximum1.0
Zeros9
Zeros (%)0.5%
Memory size15.2 KiB
2021-05-28T13:36:35.578363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7073170732
Q1-0.3414634146
median-0.1829268293
Q3-0.0243902439
95-th percentile0.1463414634
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.2536050995
Coefficient of variation (CV)-1.252544219
Kurtosis0.9853723095
Mean-0.2024719732
Median Absolute Deviation (MAD)0.1585365854
Skewness-0.3762774561
Sum-166.22949
Variance0.0643155465
2021-05-28T13:36:35.676416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.0487804878 18 0.9%
 
-0.1585365854 18 0.9%
 
-0.09756097561 17 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 604 31.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MEAN
Real number (ℝ)

MISSING
Distinct count117
Unique (%)14.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.2024719732304176
Minimum-1.0
Maximum1.0
Zeros9
Zeros (%)0.5%
Memory size15.2 KiB
2021-05-28T13:36:35.782486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7073170732
Q1-0.3414634146
median-0.1829268293
Q3-0.0243902439
95-th percentile0.1463414634
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.2536050995
Coefficient of variation (CV)-1.252544219
Kurtosis0.9853723095
Mean-0.2024719732
Median Absolute Deviation (MAD)0.1585365854
Skewness-0.3762774561
Sum-166.22949
Variance0.0643155465
2021-05-28T13:36:35.881640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.0487804878 18 0.9%
 
-0.1585365854 18 0.9%
 
-0.09756097561 17 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 604 31.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MIN
Real number (ℝ)

MISSING
Distinct count117
Unique (%)14.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.2024719732304176
Minimum-1.0
Maximum1.0
Zeros9
Zeros (%)0.5%
Memory size15.2 KiB
2021-05-28T13:36:35.992594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7073170732
Q1-0.3414634146
median-0.1829268293
Q3-0.0243902439
95-th percentile0.1463414634
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.2536050995
Coefficient of variation (CV)-1.252544219
Kurtosis0.9853723095
Mean-0.2024719732
Median Absolute Deviation (MAD)0.1585365854
Skewness-0.3762774561
Sum-166.22949
Variance0.0643155465
2021-05-28T13:36:36.093635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.0487804878 18 0.9%
 
-0.1585365854 18 0.9%
 
-0.09756097561 17 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 604 31.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MAX
Real number (ℝ)

MISSING
Distinct count117
Unique (%)14.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.2024719732304176
Minimum-1.0
Maximum1.0
Zeros9
Zeros (%)0.5%
Memory size15.2 KiB
2021-05-28T13:36:36.202132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7073170732
Q1-0.3414634146
median-0.1829268293
Q3-0.0243902439
95-th percentile0.1463414634
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.2536050995
Coefficient of variation (CV)-1.252544219
Kurtosis0.9853723095
Mean-0.2024719732
Median Absolute Deviation (MAD)0.1585365854
Skewness-0.3762774561
Sum-166.22949
Variance0.0643155465
2021-05-28T13:36:36.300881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.0487804878 18 0.9%
 
-0.1585365854 18 0.9%
 
-0.09756097561 17 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 604 31.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

INR_MEDIAN
Real number (ℝ)

MISSING
Distinct count28
Unique (%)3.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.936949920301007
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:36.406551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median-0.9598494354
Q3-0.9322459222
95-th percentile-0.8820577164
Maximum1
Range2
Interquartile range (IQR)0.02760351317

Descriptive statistics

Standard deviation0.08612487419
Coefficient of variation (CV)-0.09192046695
Kurtosis319.0239592
Mean-0.9369499203
Median Absolute Deviation (MAD)0
Skewness15.30529154
Sum-769.2358846
Variance0.007417493954
2021-05-28T13:36:36.516550image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
-0.9673776662 6 0.3%
 
Other values (18) 33 1.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 
-0.5809284818 2 0.1%
 

INR_MEAN
Real number (ℝ)

MISSING
Distinct count28
Unique (%)3.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.936949920301007
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:36.627261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median-0.9598494354
Q3-0.9322459222
95-th percentile-0.8820577164
Maximum1
Range2
Interquartile range (IQR)0.02760351317

Descriptive statistics

Standard deviation0.08612487419
Coefficient of variation (CV)-0.09192046695
Kurtosis319.0239592
Mean-0.9369499203
Median Absolute Deviation (MAD)0
Skewness15.30529154
Sum-769.2358846
Variance0.007417493954
2021-05-28T13:36:36.740422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
-0.9673776662 6 0.3%
 
Other values (18) 33 1.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 
-0.5809284818 2 0.1%
 

INR_MIN
Real number (ℝ)

MISSING
Distinct count28
Unique (%)3.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.936949920301007
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:36.890965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median-0.9598494354
Q3-0.9322459222
95-th percentile-0.8820577164
Maximum1
Range2
Interquartile range (IQR)0.02760351317

Descriptive statistics

Standard deviation0.08612487419
Coefficient of variation (CV)-0.09192046695
Kurtosis319.0239592
Mean-0.9369499203
Median Absolute Deviation (MAD)0
Skewness15.30529154
Sum-769.2358846
Variance0.007417493954
2021-05-28T13:36:37.001523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
-0.9673776662 6 0.3%
 
Other values (18) 33 1.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 
-0.5809284818 2 0.1%
 

INR_MAX
Real number (ℝ)

MISSING
Distinct count28
Unique (%)3.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.936949920301007
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:37.121719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median-0.9598494354
Q3-0.9322459222
95-th percentile-0.8820577164
Maximum1
Range2
Interquartile range (IQR)0.02760351317

Descriptive statistics

Standard deviation0.08612487419
Coefficient of variation (CV)-0.09192046695
Kurtosis319.0239592
Mean-0.9369499203
Median Absolute Deviation (MAD)0
Skewness15.30529154
Sum-769.2358846
Variance0.007417493954
2021-05-28T13:36:37.238120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
-0.9673776662 6 0.3%
 
Other values (18) 33 1.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 
-0.5809284818 2 0.1%
 

INR_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

LACTATE_MEDIAN
Real number (ℝ)

MISSING
Distinct count147
Unique (%)17.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.2671313383988073
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:37.388815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9622186495
Q1-0.8946945338
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1.894694534

Descriptive statistics

Standard deviation0.923557211
Coefficient of variation (CV)3.457315104
Kurtosis-1.764134109
Mean0.2671313384
Median Absolute Deviation (MAD)0
Skewness-0.4759497143
Sum219.3148288
Variance0.852957922
2021-05-28T13:36:37.497803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
-0.9208908644 6 0.3%
 
Other values (137) 240 12.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
-0.04242586638 1 0.1%
 
-0.1112004287 1 0.1%
 

LACTATE_MEAN
Real number (ℝ)

MISSING
Distinct count147
Unique (%)17.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.2671313383988073
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:37.600806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9622186495
Q1-0.8946945338
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1.894694534

Descriptive statistics

Standard deviation0.923557211
Coefficient of variation (CV)3.457315104
Kurtosis-1.764134109
Mean0.2671313384
Median Absolute Deviation (MAD)0
Skewness-0.4759497143
Sum219.3148288
Variance0.852957922
2021-05-28T13:36:37.700528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
-0.9208908644 6 0.3%
 
Other values (137) 240 12.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
-0.04242586638 1 0.1%
 
-0.1112004287 1 0.1%
 

LACTATE_MIN
Real number (ℝ)

MISSING
Distinct count147
Unique (%)17.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.2671313383988073
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:37.811728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9622186495
Q1-0.8946945338
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1.894694534

Descriptive statistics

Standard deviation0.923557211
Coefficient of variation (CV)3.457315104
Kurtosis-1.764134109
Mean0.2671313384
Median Absolute Deviation (MAD)0
Skewness-0.4759497143
Sum219.3148288
Variance0.852957922
2021-05-28T13:36:37.919187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
-0.9208908644 6 0.3%
 
Other values (137) 240 12.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
-0.04242586638 1 0.1%
 
-0.1112004287 1 0.1%
 

LACTATE_MAX
Real number (ℝ)

MISSING
Distinct count147
Unique (%)17.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.2671313383988073
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:38.076126image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9622186495
Q1-0.8946945338
median1
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1.894694534

Descriptive statistics

Standard deviation0.923557211
Coefficient of variation (CV)3.457315104
Kurtosis-1.764134109
Mean0.2671313384
Median Absolute Deviation (MAD)0
Skewness-0.4759497143
Sum219.3148288
Variance0.852957922
2021-05-28T13:36:38.180982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
-0.9208908644 6 0.3%
 
Other values (137) 240 12.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
-0.04242586638 1 0.1%
 
-0.1112004287 1 0.1%
 

LACTATE_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

LEUKOCYTES_MEDIAN
Real number (ℝ)

MISSING
Distinct count526
Unique (%)64.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7412655152573263
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:38.294739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8933951333
Q1-0.8323677095
median-0.7736577829
Q3-0.7025878718
95-th percentile-0.4747006566
Maximum1
Range2
Interquartile range (IQR)0.1297798378

Descriptive statistics

Standard deviation0.1490948132
Coefficient of variation (CV)-0.2011355043
Kurtosis25.59701865
Mean-0.7412655153
Median Absolute Deviation (MAD)0.0629586713
Skewness3.379062294
Sum-608.578988
Variance0.02222926333
2021-05-28T13:36:38.452909image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
-0.8022402472 4 0.2%
 
Other values (516) 733 38.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 
-0.1402085747 1 0.1%
 

LEUKOCYTES_MEAN
Real number (ℝ)

MISSING
Distinct count526
Unique (%)64.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7412655152573263
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:38.581857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8933951333
Q1-0.8323677095
median-0.7736577829
Q3-0.7025878718
95-th percentile-0.4747006566
Maximum1
Range2
Interquartile range (IQR)0.1297798378

Descriptive statistics

Standard deviation0.1490948132
Coefficient of variation (CV)-0.2011355043
Kurtosis25.59701865
Mean-0.7412655153
Median Absolute Deviation (MAD)0.0629586713
Skewness3.379062294
Sum-608.578988
Variance0.02222926333
2021-05-28T13:36:38.682802image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
-0.8022402472 4 0.2%
 
Other values (516) 733 38.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 
-0.1402085747 1 0.1%
 

LEUKOCYTES_MIN
Real number (ℝ)

MISSING
Distinct count526
Unique (%)64.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7412655152573263
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:38.804293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8933951333
Q1-0.8323677095
median-0.7736577829
Q3-0.7025878718
95-th percentile-0.4747006566
Maximum1
Range2
Interquartile range (IQR)0.1297798378

Descriptive statistics

Standard deviation0.1490948132
Coefficient of variation (CV)-0.2011355043
Kurtosis25.59701865
Mean-0.7412655153
Median Absolute Deviation (MAD)0.0629586713
Skewness3.379062294
Sum-608.578988
Variance0.02222926333
2021-05-28T13:36:38.971201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
-0.8022402472 4 0.2%
 
Other values (516) 733 38.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 
-0.1402085747 1 0.1%
 

LEUKOCYTES_MAX
Real number (ℝ)

MISSING
Distinct count526
Unique (%)64.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7412655152573263
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:39.422034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8933951333
Q1-0.8323677095
median-0.7736577829
Q3-0.7025878718
95-th percentile-0.4747006566
Maximum1
Range2
Interquartile range (IQR)0.1297798378

Descriptive statistics

Standard deviation0.1490948132
Coefficient of variation (CV)-0.2011355043
Kurtosis25.59701865
Mean-0.7412655153
Median Absolute Deviation (MAD)0.0629586713
Skewness3.379062294
Sum-608.578988
Variance0.02222926333
2021-05-28T13:36:39.573149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
-0.8022402472 4 0.2%
 
Other values (516) 733 38.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 
-0.1402085747 1 0.1%
 

LEUKOCYTES_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

LINFOCITOS_MEDIAN
Real number (ℝ)

MISSING
Distinct count272
Unique (%)33.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7103898696559706
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:39.685165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9149377593
Q1-0.8278008299
median-0.7365145228
Q3-0.6141078838
95-th percentile-0.4087136929
Maximum1
Range2
Interquartile range (IQR)0.2136929461

Descriptive statistics

Standard deviation0.1677959528
Coefficient of variation (CV)-0.2362026261
Kurtosis14.01096398
Mean-0.7103898697
Median Absolute Deviation (MAD)0.1037344398
Skewness2.160527113
Sum-583.230083
Variance0.02815548176
2021-05-28T13:36:39.804483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
-0.6887966805 8 0.4%
 
Other values (262) 686 35.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
-0.1078838174 1 0.1%
 
-0.1576763485 1 0.1%
 

LINFOCITOS_MEAN
Real number (ℝ)

MISSING
Distinct count272
Unique (%)33.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7103898696559706
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:39.915438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9149377593
Q1-0.8278008299
median-0.7365145228
Q3-0.6141078838
95-th percentile-0.4087136929
Maximum1
Range2
Interquartile range (IQR)0.2136929461

Descriptive statistics

Standard deviation0.1677959528
Coefficient of variation (CV)-0.2362026261
Kurtosis14.01096398
Mean-0.7103898697
Median Absolute Deviation (MAD)0.1037344398
Skewness2.160527113
Sum-583.230083
Variance0.02815548176
2021-05-28T13:36:40.021560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
-0.6887966805 8 0.4%
 
Other values (262) 686 35.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
-0.1078838174 1 0.1%
 
-0.1576763485 1 0.1%
 

LINFOCITOS_MIN
Real number (ℝ)

MISSING
Distinct count272
Unique (%)33.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7103898696559706
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:40.135268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9149377593
Q1-0.8278008299
median-0.7365145228
Q3-0.6141078838
95-th percentile-0.4087136929
Maximum1
Range2
Interquartile range (IQR)0.2136929461

Descriptive statistics

Standard deviation0.1677959528
Coefficient of variation (CV)-0.2362026261
Kurtosis14.01096398
Mean-0.7103898697
Median Absolute Deviation (MAD)0.1037344398
Skewness2.160527113
Sum-583.230083
Variance0.02815548176
2021-05-28T13:36:40.243814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
-0.6887966805 8 0.4%
 
Other values (262) 686 35.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
-0.1078838174 1 0.1%
 
-0.1576763485 1 0.1%
 

LINFOCITOS_MAX
Real number (ℝ)

MISSING
Distinct count272
Unique (%)33.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7103898696559706
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:40.369643image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9149377593
Q1-0.8278008299
median-0.7365145228
Q3-0.6141078838
95-th percentile-0.4087136929
Maximum1
Range2
Interquartile range (IQR)0.2136929461

Descriptive statistics

Standard deviation0.1677959528
Coefficient of variation (CV)-0.2362026261
Kurtosis14.01096398
Mean-0.7103898697
Median Absolute Deviation (MAD)0.1037344398
Skewness2.160527113
Sum-583.230083
Variance0.02815548176
2021-05-28T13:36:40.478326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
-0.6887966805 8 0.4%
 
Other values (262) 686 35.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
-0.1078838174 1 0.1%
 
-0.1576763485 1 0.1%
 

LINFOCITOS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

NEUTROPHILES_MEDIAN
Real number (ℝ)

MISSING
Distinct count492
Unique (%)59.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8126624653689561
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:40.599687image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9411764706
Q1-0.8967587035
median-0.8471388555
Q3-0.7803121248
95-th percentile-0.5426170468
Maximum1
Range2
Interquartile range (IQR)0.1164465786

Descriptive statistics

Standard deviation0.1460845205
Coefficient of variation (CV)-0.1797603885
Kurtosis33.02259375
Mean-0.8126624654
Median Absolute Deviation (MAD)0.05442176871
Skewness4.033678252
Sum-667.1958841
Variance0.02134068714
2021-05-28T13:36:40.704006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
-0.8635454182 5 0.3%
 
Other values (482) 727 37.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 
-0.1932773109 1 0.1%
 

NEUTROPHILES_MEAN
Real number (ℝ)

MISSING
Distinct count492
Unique (%)59.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8126624653689561
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:40.824552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9411764706
Q1-0.8967587035
median-0.8471388555
Q3-0.7803121248
95-th percentile-0.5426170468
Maximum1
Range2
Interquartile range (IQR)0.1164465786

Descriptive statistics

Standard deviation0.1460845205
Coefficient of variation (CV)-0.1797603885
Kurtosis33.02259375
Mean-0.8126624654
Median Absolute Deviation (MAD)0.05442176871
Skewness4.033678252
Sum-667.1958841
Variance0.02134068714
2021-05-28T13:36:40.933576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
-0.8635454182 5 0.3%
 
Other values (482) 727 37.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 
-0.1932773109 1 0.1%
 

NEUTROPHILES_MIN
Real number (ℝ)

MISSING
Distinct count492
Unique (%)59.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8126624653689561
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:41.047940image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9411764706
Q1-0.8967587035
median-0.8471388555
Q3-0.7803121248
95-th percentile-0.5426170468
Maximum1
Range2
Interquartile range (IQR)0.1164465786

Descriptive statistics

Standard deviation0.1460845205
Coefficient of variation (CV)-0.1797603885
Kurtosis33.02259375
Mean-0.8126624654
Median Absolute Deviation (MAD)0.05442176871
Skewness4.033678252
Sum-667.1958841
Variance0.02134068714
2021-05-28T13:36:41.158938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
-0.8635454182 5 0.3%
 
Other values (482) 727 37.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 
-0.1932773109 1 0.1%
 

NEUTROPHILES_MAX
Real number (ℝ)

MISSING
Distinct count492
Unique (%)59.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8126624653689561
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:41.312450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9411764706
Q1-0.8967587035
median-0.8471388555
Q3-0.7803121248
95-th percentile-0.5426170468
Maximum1
Range2
Interquartile range (IQR)0.1164465786

Descriptive statistics

Standard deviation0.1460845205
Coefficient of variation (CV)-0.1797603885
Kurtosis33.02259375
Mean-0.8126624654
Median Absolute Deviation (MAD)0.05442176871
Skewness4.033678252
Sum-667.1958841
Variance0.02134068714
2021-05-28T13:36:41.558814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
-0.8635454182 5 0.3%
 
Other values (482) 727 37.8%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 
-0.1932773109 1 0.1%
 

NEUTROPHILES_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

P02_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count75
Unique (%)9.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.17588604022459223
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:41.819209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3780487805
Q1-0.1707317073
median-0.1707317073
Q3-0.1707317073
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1581094889
Coefficient of variation (CV)-0.8989314256
Kurtosis17.80842599
Mean-0.1758860402
Median Absolute Deviation (MAD)0
Skewness0.9351684871
Sum-144.402439
Variance0.02499861048
2021-05-28T13:36:41.987930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
-0.756097561 2 0.1%
 
Other values (65) 81 4.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count75
Unique (%)9.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.17588604022459223
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:42.133151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3780487805
Q1-0.1707317073
median-0.1707317073
Q3-0.1707317073
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1581094889
Coefficient of variation (CV)-0.8989314256
Kurtosis17.80842599
Mean-0.1758860402
Median Absolute Deviation (MAD)0
Skewness0.9351684871
Sum-144.402439
Variance0.02499861048
2021-05-28T13:36:42.238688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
-0.756097561 2 0.1%
 
Other values (65) 81 4.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count75
Unique (%)9.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.17588604022459223
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:42.366230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3780487805
Q1-0.1707317073
median-0.1707317073
Q3-0.1707317073
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1581094889
Coefficient of variation (CV)-0.8989314256
Kurtosis17.80842599
Mean-0.1758860402
Median Absolute Deviation (MAD)0
Skewness0.9351684871
Sum-144.402439
Variance0.02499861048
2021-05-28T13:36:42.474105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
-0.756097561 2 0.1%
 
Other values (65) 81 4.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count75
Unique (%)9.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.17588604022459223
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:42.590377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3780487805
Q1-0.1707317073
median-0.1707317073
Q3-0.1707317073
95-th percentile-0.1219512195
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1581094889
Coefficient of variation (CV)-0.8989314256
Kurtosis17.80842599
Mean-0.1758860402
Median Absolute Deviation (MAD)0
Skewness0.9351684871
Sum-144.402439
Variance0.02499861048
2021-05-28T13:36:42.717314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
-0.756097561 2 0.1%
 
Other values (65) 81 4.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

P02_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count74
Unique (%)9.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.675341804265256
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:42.857082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8579881657
Q1-0.7041420118
median-0.7041420118
Q3-0.7041420118
95-th percentile-0.4319526627
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1521895512
Coefficient of variation (CV)-0.2253518888
Kurtosis31.33959195
Mean-0.6753418043
Median Absolute Deviation (MAD)0
Skewness4.124855927
Sum-554.4556213
Variance0.0231616595
2021-05-28T13:36:42.963525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
-0.6568047337 9 0.5%
 
Other values (64) 223 11.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count74
Unique (%)9.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.675341804265256
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:43.070680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8579881657
Q1-0.7041420118
median-0.7041420118
Q3-0.7041420118
95-th percentile-0.4319526627
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1521895512
Coefficient of variation (CV)-0.2253518888
Kurtosis31.33959195
Mean-0.6753418043
Median Absolute Deviation (MAD)0
Skewness4.124855927
Sum-554.4556213
Variance0.0231616595
2021-05-28T13:36:43.170607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
-0.6568047337 9 0.5%
 
Other values (64) 223 11.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count74
Unique (%)9.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.675341804265256
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:43.277036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8579881657
Q1-0.7041420118
median-0.7041420118
Q3-0.7041420118
95-th percentile-0.4319526627
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1521895512
Coefficient of variation (CV)-0.2253518888
Kurtosis31.33959195
Mean-0.6753418043
Median Absolute Deviation (MAD)0
Skewness4.124855927
Sum-554.4556213
Variance0.0231616595
2021-05-28T13:36:43.381355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
-0.6568047337 9 0.5%
 
Other values (64) 223 11.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count74
Unique (%)9.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.675341804265256
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:43.497032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8579881657
Q1-0.7041420118
median-0.7041420118
Q3-0.7041420118
95-th percentile-0.4319526627
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1521895512
Coefficient of variation (CV)-0.2253518888
Kurtosis31.33959195
Mean-0.6753418043
Median Absolute Deviation (MAD)0
Skewness4.124855927
Sum-554.4556213
Variance0.0231616595
2021-05-28T13:36:43.605258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
-0.6568047337 9 0.5%
 
Other values (64) 223 11.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PC02_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count34
Unique (%)4.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7776639086059892
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:43.713967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8206896552
Q1-0.7793103448
median-0.7793103448
Q3-0.7793103448
95-th percentile-0.7655172414
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07309710379
Coefficient of variation (CV)-0.09399575187
Kurtosis429.9524559
Mean-0.7776639086
Median Absolute Deviation (MAD)0
Skewness17.90552031
Sum-638.462069
Variance0.005343186583
2021-05-28T13:36:43.820683image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
-0.6137931034 4 0.2%
 
Other values (24) 46 2.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 
-0.6 1 0.1%
 

PC02_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count34
Unique (%)4.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7776639086059892
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:43.932106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8206896552
Q1-0.7793103448
median-0.7793103448
Q3-0.7793103448
95-th percentile-0.7655172414
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07309710379
Coefficient of variation (CV)-0.09399575187
Kurtosis429.9524559
Mean-0.7776639086
Median Absolute Deviation (MAD)0
Skewness17.90552031
Sum-638.462069
Variance0.005343186583
2021-05-28T13:36:44.040054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
-0.6137931034 4 0.2%
 
Other values (24) 46 2.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 
-0.6 1 0.1%
 

PC02_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count34
Unique (%)4.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7776639086059892
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:44.151760image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8206896552
Q1-0.7793103448
median-0.7793103448
Q3-0.7793103448
95-th percentile-0.7655172414
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07309710379
Coefficient of variation (CV)-0.09399575187
Kurtosis429.9524559
Mean-0.7776639086
Median Absolute Deviation (MAD)0
Skewness17.90552031
Sum-638.462069
Variance0.005343186583
2021-05-28T13:36:44.259241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
-0.6137931034 4 0.2%
 
Other values (24) 46 2.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 
-0.6 1 0.1%
 

PC02_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count34
Unique (%)4.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7776639086059892
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:44.370227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8206896552
Q1-0.7793103448
median-0.7793103448
Q3-0.7793103448
95-th percentile-0.7655172414
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07309710379
Coefficient of variation (CV)-0.09399575187
Kurtosis429.9524559
Mean-0.7776639086
Median Absolute Deviation (MAD)0
Skewness17.90552031
Sum-638.462069
Variance0.005343186583
2021-05-28T13:36:44.476130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
-0.6137931034 4 0.2%
 
Other values (24) 46 2.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 
-0.6 1 0.1%
 

PC02_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PC02_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count42
Unique (%)5.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7557968361193516
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:44.589017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8650306748
Q1-0.754601227
median-0.754601227
Q3-0.754601227
95-th percentile-0.6564417178
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09519329138
Coefficient of variation (CV)-0.1259508995
Kurtosis168.4203626
Mean-0.7557968361
Median Absolute Deviation (MAD)0
Skewness10.02424602
Sum-620.5092025
Variance0.009061762723
2021-05-28T13:36:44.692778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
-0.8527607362 13 0.7%
 
Other values (32) 154 8.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 
-0.4601226994 2 0.1%
 

PC02_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count42
Unique (%)5.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7557968361193516
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:44.813317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8650306748
Q1-0.754601227
median-0.754601227
Q3-0.754601227
95-th percentile-0.6564417178
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09519329138
Coefficient of variation (CV)-0.1259508995
Kurtosis168.4203626
Mean-0.7557968361
Median Absolute Deviation (MAD)0
Skewness10.02424602
Sum-620.5092025
Variance0.009061762723
2021-05-28T13:36:44.915633image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
-0.8527607362 13 0.7%
 
Other values (32) 154 8.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 
-0.4601226994 2 0.1%
 

PC02_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count42
Unique (%)5.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7557968361193516
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:45.283321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8650306748
Q1-0.754601227
median-0.754601227
Q3-0.754601227
95-th percentile-0.6564417178
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09519329138
Coefficient of variation (CV)-0.1259508995
Kurtosis168.4203626
Mean-0.7557968361
Median Absolute Deviation (MAD)0
Skewness10.02424602
Sum-620.5092025
Variance0.009061762723
2021-05-28T13:36:45.396081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
-0.8527607362 13 0.7%
 
Other values (32) 154 8.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 
-0.4601226994 2 0.1%
 

PC02_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count42
Unique (%)5.1%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.7557968361193516
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:45.516933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8650306748
Q1-0.754601227
median-0.754601227
Q3-0.754601227
95-th percentile-0.6564417178
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09519329138
Coefficient of variation (CV)-0.1259508995
Kurtosis168.4203626
Mean-0.7557968361
Median Absolute Deviation (MAD)0
Skewness10.02424602
Sum-620.5092025
Variance0.009061762723
2021-05-28T13:36:45.624388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
-0.8527607362 13 0.7%
 
Other values (32) 154 8.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 
-0.4601226994 2 0.1%
 

PC02_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PCR_MEDIAN
Real number (ℝ)

MISSING
Distinct count483
Unique (%)58.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8455698592476787
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:45.740280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997731569
Q1-0.9822306238
median-0.9429111531
Q3-0.8151228733
95-th percentile-0.37731569
Maximum1
Range2
Interquartile range (IQR)0.1671077505

Descriptive statistics

Standard deviation0.2452382375
Coefficient of variation (CV)-0.2900271749
Kurtosis13.64193541
Mean-0.8455698592
Median Absolute Deviation (MAD)0.04952741021
Skewness3.220287905
Sum-694.2128544
Variance0.06014179313
2021-05-28T13:36:45.846217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
-0.9969754253 6 0.3%
 
Other values (473) 698 36.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MEAN
Real number (ℝ)

MISSING
Distinct count483
Unique (%)58.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8455698592476787
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:45.960068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997731569
Q1-0.9822306238
median-0.9429111531
Q3-0.8151228733
95-th percentile-0.37731569
Maximum1
Range2
Interquartile range (IQR)0.1671077505

Descriptive statistics

Standard deviation0.2452382375
Coefficient of variation (CV)-0.2900271749
Kurtosis13.64193541
Mean-0.8455698592
Median Absolute Deviation (MAD)0.04952741021
Skewness3.220287905
Sum-694.2128544
Variance0.06014179313
2021-05-28T13:36:46.065083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
-0.9969754253 6 0.3%
 
Other values (473) 698 36.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MIN
Real number (ℝ)

MISSING
Distinct count483
Unique (%)58.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8455698592476787
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:46.179416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997731569
Q1-0.9822306238
median-0.9429111531
Q3-0.8151228733
95-th percentile-0.37731569
Maximum1
Range2
Interquartile range (IQR)0.1671077505

Descriptive statistics

Standard deviation0.2452382375
Coefficient of variation (CV)-0.2900271749
Kurtosis13.64193541
Mean-0.8455698592
Median Absolute Deviation (MAD)0.04952741021
Skewness3.220287905
Sum-694.2128544
Variance0.06014179313
2021-05-28T13:36:46.284752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
-0.9969754253 6 0.3%
 
Other values (473) 698 36.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MAX
Real number (ℝ)

MISSING
Distinct count483
Unique (%)58.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8455698592476787
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:46.399015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997731569
Q1-0.9822306238
median-0.9429111531
Q3-0.8151228733
95-th percentile-0.37731569
Maximum1
Range2
Interquartile range (IQR)0.1671077505

Descriptive statistics

Standard deviation0.2452382375
Coefficient of variation (CV)-0.2900271749
Kurtosis13.64193541
Mean-0.8455698592
Median Absolute Deviation (MAD)0.04952741021
Skewness3.220287905
Sum-694.2128544
Variance0.06014179313
2021-05-28T13:36:46.509678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
-0.9969754253 6 0.3%
 
Other values (473) 698 36.3%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PH_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count35
Unique (%)4.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.23699691605980977
Minimum-1.0
Maximum0.9999999999999964
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:46.624451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2340425532
Q10.2340425532
median0.2340425532
Q30.2340425532
95-th percentile0.4042553191
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295743158
Coefficient of variation (CV)0.5467341853
Kurtosis27.48845126
Mean0.2369969161
Median Absolute Deviation (MAD)0
Skewness-2.67497442
Sum194.5744681
Variance0.01678950332
2021-05-28T13:36:46.733303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
0.2340425532 6 0.3%
 
Other values (25) 50 2.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count35
Unique (%)4.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.23699691605980977
Minimum-1.0
Maximum0.9999999999999964
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:46.855511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2340425532
Q10.2340425532
median0.2340425532
Q30.2340425532
95-th percentile0.4042553191
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295743158
Coefficient of variation (CV)0.5467341853
Kurtosis27.48845126
Mean0.2369969161
Median Absolute Deviation (MAD)0
Skewness-2.67497442
Sum194.5744681
Variance0.01678950332
2021-05-28T13:36:46.968706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
0.2340425532 6 0.3%
 
Other values (25) 50 2.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count35
Unique (%)4.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.23699691605980977
Minimum-1.0
Maximum0.9999999999999964
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:47.091407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2340425532
Q10.2340425532
median0.2340425532
Q30.2340425532
95-th percentile0.4042553191
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295743158
Coefficient of variation (CV)0.5467341853
Kurtosis27.48845126
Mean0.2369969161
Median Absolute Deviation (MAD)0
Skewness-2.67497442
Sum194.5744681
Variance0.01678950332
2021-05-28T13:36:47.200254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
0.2340425532 6 0.3%
 
Other values (25) 50 2.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count35
Unique (%)4.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.23699691605980977
Minimum-1.0
Maximum0.9999999999999964
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:47.312013image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2340425532
Q10.2340425532
median0.2340425532
Q30.2340425532
95-th percentile0.4042553191
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1295743158
Coefficient of variation (CV)0.5467341853
Kurtosis27.48845126
Mean0.2369969161
Median Absolute Deviation (MAD)0
Skewness-2.67497442
Sum194.5744681
Variance0.01678950332
2021-05-28T13:36:47.415365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
0.2340425532 6 0.3%
 
Other values (25) 50 2.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PH_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count40
Unique (%)4.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3690067545122357
Minimum-1.0
Maximum1.0
Zeros2
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:47.526946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2121212121
Q10.3636363636
median0.3636363636
Q30.3636363636
95-th percentile0.5454545455
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13090608
Coefficient of variation (CV)0.3547525307
Kurtosis24.64753445
Mean0.3690067545
Median Absolute Deviation (MAD)0
Skewness-2.867672292
Sum302.9545455
Variance0.01713640179
2021-05-28T13:36:47.637010image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
0.5454545455 15 0.8%
 
Other values (30) 88 4.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count40
Unique (%)4.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3690067545122357
Minimum-1.0
Maximum1.0
Zeros2
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:47.751704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2121212121
Q10.3636363636
median0.3636363636
Q30.3636363636
95-th percentile0.5454545455
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13090608
Coefficient of variation (CV)0.3547525307
Kurtosis24.64753445
Mean0.3690067545
Median Absolute Deviation (MAD)0
Skewness-2.867672292
Sum302.9545455
Variance0.01713640179
2021-05-28T13:36:47.852355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
0.5454545455 15 0.8%
 
Other values (30) 88 4.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count40
Unique (%)4.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3690067545122357
Minimum-1.0
Maximum1.0
Zeros2
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:47.962517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2121212121
Q10.3636363636
median0.3636363636
Q30.3636363636
95-th percentile0.5454545455
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13090608
Coefficient of variation (CV)0.3547525307
Kurtosis24.64753445
Mean0.3690067545
Median Absolute Deviation (MAD)0
Skewness-2.867672292
Sum302.9545455
Variance0.01713640179
2021-05-28T13:36:48.068177image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
0.5454545455 15 0.8%
 
Other values (30) 88 4.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count40
Unique (%)4.9%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3690067545122357
Minimum-1.0
Maximum1.0
Zeros2
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:48.191706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2121212121
Q10.3636363636
median0.3636363636
Q30.3636363636
95-th percentile0.5454545455
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13090608
Coefficient of variation (CV)0.3547525307
Kurtosis24.64753445
Mean0.3690067545
Median Absolute Deviation (MAD)0
Skewness-2.867672292
Sum302.9545455
Variance0.01713640179
2021-05-28T13:36:48.305184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
0.5454545455 15 0.8%
 
Other values (30) 88 4.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

PLATELETS_MEDIAN
Real number (ℝ)

MISSING
Distinct count323
Unique (%)39.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.41447874470060764
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:48.422947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7650200267
Q1-0.6048064085
median-0.4632843792
Q3-0.2283044059
95-th percentile0.03604806409
Maximum1
Range2
Interquartile range (IQR)0.3765020027

Descriptive statistics

Standard deviation0.2737670634
Coefficient of variation (CV)-0.6605092949
Kurtosis3.015551351
Mean-0.4144787447
Median Absolute Deviation (MAD)0.170894526
Skewness1.172607859
Sum-340.2870494
Variance0.07494840501
2021-05-28T13:36:48.537042image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
-0.481975968 7 0.4%
 
Other values (313) 700 36.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MEAN
Real number (ℝ)

MISSING
Distinct count323
Unique (%)39.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.41447874470060764
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:48.658735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7650200267
Q1-0.6048064085
median-0.4632843792
Q3-0.2283044059
95-th percentile0.03604806409
Maximum1
Range2
Interquartile range (IQR)0.3765020027

Descriptive statistics

Standard deviation0.2737670634
Coefficient of variation (CV)-0.6605092949
Kurtosis3.015551351
Mean-0.4144787447
Median Absolute Deviation (MAD)0.170894526
Skewness1.172607859
Sum-340.2870494
Variance0.07494840501
2021-05-28T13:36:48.761249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
-0.481975968 7 0.4%
 
Other values (313) 700 36.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MIN
Real number (ℝ)

MISSING
Distinct count323
Unique (%)39.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.41447874470060764
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:48.867561image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7650200267
Q1-0.6048064085
median-0.4632843792
Q3-0.2283044059
95-th percentile0.03604806409
Maximum1
Range2
Interquartile range (IQR)0.3765020027

Descriptive statistics

Standard deviation0.2737670634
Coefficient of variation (CV)-0.6605092949
Kurtosis3.015551351
Mean-0.4144787447
Median Absolute Deviation (MAD)0.170894526
Skewness1.172607859
Sum-340.2870494
Variance0.07494840501
2021-05-28T13:36:48.974233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
-0.481975968 7 0.4%
 
Other values (313) 700 36.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MAX
Real number (ℝ)

MISSING
Distinct count323
Unique (%)39.3%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.41447874470060764
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:49.094791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7650200267
Q1-0.6048064085
median-0.4632843792
Q3-0.2283044059
95-th percentile0.03604806409
Maximum1
Range2
Interquartile range (IQR)0.3765020027

Descriptive statistics

Standard deviation0.2737670634
Coefficient of variation (CV)-0.6605092949
Kurtosis3.015551351
Mean-0.4144787447
Median Absolute Deviation (MAD)0.170894526
Skewness1.172607859
Sum-340.2870494
Variance0.07494840501
2021-05-28T13:36:49.205630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
-0.481975968 7 0.4%
 
Other values (313) 700 36.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

POTASSIUM_MEDIAN
Real number (ℝ)

MISSING
Distinct count39
Unique (%)4.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.5256236748319575
Minimum-1.0
Maximum1.0
Zeros1
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:49.324797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8148148148
Q1-0.6296296296
median-0.5185185185
Q3-0.4444444444
95-th percentile-0.2592592593
Maximum1
Range2
Interquartile range (IQR)0.1851851852

Descriptive statistics

Standard deviation0.1888815173
Coefficient of variation (CV)-0.3593474312
Kurtosis10.80731001
Mean-0.5256236748
Median Absolute Deviation (MAD)0.1111111111
Skewness1.871045583
Sum-431.537037
Variance0.03567622758
2021-05-28T13:36:49.421539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
-0.3703703704 33 1.7%
 
Other values (29) 184 9.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MEAN
Real number (ℝ)

MISSING
Distinct count39
Unique (%)4.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.5256236748319575
Minimum-1.0
Maximum1.0
Zeros1
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:49.526030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8148148148
Q1-0.6296296296
median-0.5185185185
Q3-0.4444444444
95-th percentile-0.2592592593
Maximum1
Range2
Interquartile range (IQR)0.1851851852

Descriptive statistics

Standard deviation0.1888815173
Coefficient of variation (CV)-0.3593474312
Kurtosis10.80731001
Mean-0.5256236748
Median Absolute Deviation (MAD)0.1111111111
Skewness1.871045583
Sum-431.537037
Variance0.03567622758
2021-05-28T13:36:49.627660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
-0.3703703704 33 1.7%
 
Other values (29) 184 9.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MIN
Real number (ℝ)

MISSING
Distinct count39
Unique (%)4.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.5256236748319575
Minimum-1.0
Maximum1.0
Zeros1
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:49.743045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8148148148
Q1-0.6296296296
median-0.5185185185
Q3-0.4444444444
95-th percentile-0.2592592593
Maximum1
Range2
Interquartile range (IQR)0.1851851852

Descriptive statistics

Standard deviation0.1888815173
Coefficient of variation (CV)-0.3593474312
Kurtosis10.80731001
Mean-0.5256236748
Median Absolute Deviation (MAD)0.1111111111
Skewness1.871045583
Sum-431.537037
Variance0.03567622758
2021-05-28T13:36:49.849935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
-0.3703703704 33 1.7%
 
Other values (29) 184 9.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MAX
Real number (ℝ)

MISSING
Distinct count39
Unique (%)4.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.5256236748319575
Minimum-1.0
Maximum1.0
Zeros1
Zeros (%)0.1%
Memory size15.2 KiB
2021-05-28T13:36:49.957532image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8148148148
Q1-0.6296296296
median-0.5185185185
Q3-0.4444444444
95-th percentile-0.2592592593
Maximum1
Range2
Interquartile range (IQR)0.1851851852

Descriptive statistics

Standard deviation0.1888815173
Coefficient of variation (CV)-0.3593474312
Kurtosis10.80731001
Mean-0.5256236748
Median Absolute Deviation (MAD)0.1111111111
Skewness1.871045583
Sum-431.537037
Variance0.03567622758
2021-05-28T13:36:50.057432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
-0.3703703704 33 1.7%
 
Other values (29) 184 9.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

SAT02_ARTERIAL_MEDIAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.9142767504521464
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:50.168912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.8484848485
Q10.9393939394
median0.9393939394
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1495369975
Coefficient of variation (CV)0.1635576946
Kurtosis69.14022956
Mean0.9142767505
Median Absolute Deviation (MAD)0
Skewness-7.723622512
Sum750.6212121
Variance0.02236131363
2021-05-28T13:36:50.288802image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
0.2727272727 3 0.2%
 
Other values (16) 20 1.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MEAN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.9142767504521464
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:50.425208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.8484848485
Q10.9393939394
median0.9393939394
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1495369975
Coefficient of variation (CV)0.1635576946
Kurtosis69.14022956
Mean0.9142767505
Median Absolute Deviation (MAD)0
Skewness-7.723622512
Sum750.6212121
Variance0.02236131363
2021-05-28T13:36:50.550803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
0.2727272727 3 0.2%
 
Other values (16) 20 1.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MIN
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.9142767504521464
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:50.664999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.8484848485
Q10.9393939394
median0.9393939394
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1495369975
Coefficient of variation (CV)0.1635576946
Kurtosis69.14022956
Mean0.9142767505
Median Absolute Deviation (MAD)0
Skewness-7.723622512
Sum750.6212121
Variance0.02236131363
2021-05-28T13:36:50.766789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
0.2727272727 3 0.2%
 
Other values (16) 20 1.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MAX
Real number (ℝ)

MISSING
Distinct count26
Unique (%)3.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.9142767504521464
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:50.877486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.8484848485
Q10.9393939394
median0.9393939394
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1495369975
Coefficient of variation (CV)0.1635576946
Kurtosis69.14022956
Mean0.9142767505
Median Absolute Deviation (MAD)0
Skewness-7.723622512
Sum750.6212121
Variance0.02236131363
2021-05-28T13:36:50.983019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
0.2727272727 3 0.2%
 
Other values (16) 20 1.0%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

SAT02_VENOUS_MEDIAN
Real number (ℝ)

MISSING
Distinct count77
Unique (%)9.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3319649328581523
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:51.100616image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3827160494
Q10.3456790123
median0.3456790123
Q30.3456790123
95-th percentile0.8024691358
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3051482214
Coefficient of variation (CV)0.9192182403
Kurtosis4.152710988
Mean0.3319649329
Median Absolute Deviation (MAD)0
Skewness-1.454037112
Sum272.5432099
Variance0.09311543703
2021-05-28T13:36:51.204127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
0.5555555556 9 0.5%
 
Other values (67) 235 12.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MEAN
Real number (ℝ)

MISSING
Distinct count77
Unique (%)9.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3319649328581523
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:51.332249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3827160494
Q10.3456790123
median0.3456790123
Q30.3456790123
95-th percentile0.8024691358
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3051482214
Coefficient of variation (CV)0.9192182403
Kurtosis4.152710988
Mean0.3319649329
Median Absolute Deviation (MAD)0
Skewness-1.454037112
Sum272.5432099
Variance0.09311543703
2021-05-28T13:36:51.440182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
0.5555555556 9 0.5%
 
Other values (67) 235 12.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MIN
Real number (ℝ)

MISSING
Distinct count77
Unique (%)9.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3319649328581523
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:51.555413image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3827160494
Q10.3456790123
median0.3456790123
Q30.3456790123
95-th percentile0.8024691358
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3051482214
Coefficient of variation (CV)0.9192182403
Kurtosis4.152710988
Mean0.3319649329
Median Absolute Deviation (MAD)0
Skewness-1.454037112
Sum272.5432099
Variance0.09311543703
2021-05-28T13:36:51.664105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
0.5555555556 9 0.5%
 
Other values (67) 235 12.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MAX
Real number (ℝ)

MISSING
Distinct count77
Unique (%)9.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean0.3319649328581523
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:52.054741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3827160494
Q10.3456790123
median0.3456790123
Q30.3456790123
95-th percentile0.8024691358
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3051482214
Coefficient of variation (CV)0.9192182403
Kurtosis4.152710988
Mean0.3319649329
Median Absolute Deviation (MAD)0
Skewness-1.454037112
Sum272.5432099
Variance0.09311543703
2021-05-28T13:36:52.174776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
0.5555555556 9 0.5%
 
Other values (67) 235 12.2%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

SODIUM_MEDIAN
Real number (ℝ)

MISSING
Distinct count33
Unique (%)4.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.05305956731048121
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:52.300748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3714285714
Q1-0.1428571429
median-0.02857142857
Q30.06666666667
95-th percentile0.2
Maximum1
Range2
Interquartile range (IQR)0.2095238095

Descriptive statistics

Standard deviation0.2059372801
Coefficient of variation (CV)-3.88124688
Kurtosis3.910249029
Mean-0.05305956731
Median Absolute Deviation (MAD)0.1142857143
Skewness0.04396279092
Sum-43.56190476
Variance0.04241016333
2021-05-28T13:36:52.403982image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
-0.3142857143 30 1.6%
 
Other values (23) 117 6.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MEAN
Real number (ℝ)

MISSING
Distinct count33
Unique (%)4.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.05305956731048121
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:52.513720image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3714285714
Q1-0.1428571429
median-0.02857142857
Q30.06666666667
95-th percentile0.2
Maximum1
Range2
Interquartile range (IQR)0.2095238095

Descriptive statistics

Standard deviation0.2059372801
Coefficient of variation (CV)-3.88124688
Kurtosis3.910249029
Mean-0.05305956731
Median Absolute Deviation (MAD)0.1142857143
Skewness0.04396279092
Sum-43.56190476
Variance0.04241016333
2021-05-28T13:36:52.616589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
-0.3142857143 30 1.6%
 
Other values (23) 117 6.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MIN
Real number (ℝ)

MISSING
Distinct count33
Unique (%)4.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.05305956731048121
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:52.730710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3714285714
Q1-0.1428571429
median-0.02857142857
Q30.06666666667
95-th percentile0.2
Maximum1
Range2
Interquartile range (IQR)0.2095238095

Descriptive statistics

Standard deviation0.2059372801
Coefficient of variation (CV)-3.88124688
Kurtosis3.910249029
Mean-0.05305956731
Median Absolute Deviation (MAD)0.1142857143
Skewness0.04396279092
Sum-43.56190476
Variance0.04241016333
2021-05-28T13:36:52.847077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
-0.3142857143 30 1.6%
 
Other values (23) 117 6.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MAX
Real number (ℝ)

MISSING
Distinct count33
Unique (%)4.0%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.05305956731048121
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:52.969575image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3714285714
Q1-0.1428571429
median-0.02857142857
Q30.06666666667
95-th percentile0.2
Maximum1
Range2
Interquartile range (IQR)0.2095238095

Descriptive statistics

Standard deviation0.2059372801
Coefficient of variation (CV)-3.88124688
Kurtosis3.910249029
Mean-0.05305956731
Median Absolute Deviation (MAD)0.1142857143
Skewness0.04396279092
Sum-43.56190476
Variance0.04241016333
2021-05-28T13:36:53.078412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
-0.3142857143 30 1.6%
 
Other values (23) 117 6.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

TGO_MEDIAN
Real number (ℝ)

MISSING
SKEWED
Distinct count100
Unique (%)12.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9910540892774886
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:53.204388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9986936643
Q1-0.9968274704
median-0.995427825
Q3-0.9949612765
95-th percentile-0.9874965009
Maximum1
Range2
Interquartile range (IQR)0.001866193898

Descriptive statistics

Standard deviation0.07486282455
Coefficient of variation (CV)-0.07553858599
Kurtosis621.8744989
Mean-0.9910540893
Median Absolute Deviation (MAD)0.001213026033
Skewness24.11902911
Sum-813.6554073
Variance0.005604442499
2021-05-28T13:36:53.339872image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
-0.9972007092 18 0.9%
 
Other values (90) 395 20.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 
-0.9257254829 1 0.1%
 

TGO_MEAN
Real number (ℝ)

MISSING
SKEWED
Distinct count100
Unique (%)12.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9910540892774886
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:53.458541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9986936643
Q1-0.9968274704
median-0.995427825
Q3-0.9949612765
95-th percentile-0.9874965009
Maximum1
Range2
Interquartile range (IQR)0.001866193898

Descriptive statistics

Standard deviation0.07486282455
Coefficient of variation (CV)-0.07553858599
Kurtosis621.8744989
Mean-0.9910540893
Median Absolute Deviation (MAD)0.001213026033
Skewness24.11902911
Sum-813.6554073
Variance0.005604442499
2021-05-28T13:36:53.568147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
-0.9972007092 18 0.9%
 
Other values (90) 395 20.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 
-0.9257254829 1 0.1%
 

TGO_MIN
Real number (ℝ)

MISSING
SKEWED
Distinct count100
Unique (%)12.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9910540892774886
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:53.691000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9986936643
Q1-0.9968274704
median-0.995427825
Q3-0.9949612765
95-th percentile-0.9874965009
Maximum1
Range2
Interquartile range (IQR)0.001866193898

Descriptive statistics

Standard deviation0.07486282455
Coefficient of variation (CV)-0.07553858599
Kurtosis621.8744989
Mean-0.9910540893
Median Absolute Deviation (MAD)0.001213026033
Skewness24.11902911
Sum-813.6554073
Variance0.005604442499
2021-05-28T13:36:53.814325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
-0.9972007092 18 0.9%
 
Other values (90) 395 20.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 
-0.9257254829 1 0.1%
 

TGO_MAX
Real number (ℝ)

MISSING
SKEWED
Distinct count100
Unique (%)12.2%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9910540892774886
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:53.938752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9986936643
Q1-0.9968274704
median-0.995427825
Q3-0.9949612765
95-th percentile-0.9874965009
Maximum1
Range2
Interquartile range (IQR)0.001866193898

Descriptive statistics

Standard deviation0.07486282455
Coefficient of variation (CV)-0.07553858599
Kurtosis621.8744989
Mean-0.9910540893
Median Absolute Deviation (MAD)0.001213026033
Skewness24.11902911
Sum-813.6554073
Variance0.005604442499
2021-05-28T13:36:54.054132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
-0.9972007092 18 0.9%
 
Other values (90) 395 20.5%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 
-0.9257254829 1 0.1%
 

TGO_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

TGP_MEDIAN
Real number (ℝ)

MISSING
SKEWED
Distinct count130
Unique (%)15.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9821561859421881
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:54.187866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9973323171
Q1-0.9935213415
median-0.9866615854
Q3-0.9847560976
95-th percentile-0.9596036585
Maximum1
Range2
Interquartile range (IQR)0.008765243902

Descriptive statistics

Standard deviation0.07197493972
Coefficient of variation (CV)-0.07328258046
Kurtosis704.3085062
Mean-0.9821561859
Median Absolute Deviation (MAD)0.005335365854
Skewness25.7056426
Sum-806.3502287
Variance0.005180391948
2021-05-28T13:36:54.310376image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
-0.9942835366 13 0.7%
 
Other values (120) 436 22.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 
-0.8742378049 1 0.1%
 

TGP_MEAN
Real number (ℝ)

MISSING
SKEWED
Distinct count130
Unique (%)15.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9821561859421881
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:54.437775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9973323171
Q1-0.9935213415
median-0.9866615854
Q3-0.9847560976
95-th percentile-0.9596036585
Maximum1
Range2
Interquartile range (IQR)0.008765243902

Descriptive statistics

Standard deviation0.07197493972
Coefficient of variation (CV)-0.07328258046
Kurtosis704.3085062
Mean-0.9821561859
Median Absolute Deviation (MAD)0.005335365854
Skewness25.7056426
Sum-806.3502287
Variance0.005180391948
2021-05-28T13:36:54.550003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
-0.9942835366 13 0.7%
 
Other values (120) 436 22.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 
-0.8742378049 1 0.1%
 

TGP_MIN
Real number (ℝ)

MISSING
SKEWED
Distinct count130
Unique (%)15.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9821561859421881
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:54.681131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9973323171
Q1-0.9935213415
median-0.9866615854
Q3-0.9847560976
95-th percentile-0.9596036585
Maximum1
Range2
Interquartile range (IQR)0.008765243902

Descriptive statistics

Standard deviation0.07197493972
Coefficient of variation (CV)-0.07328258046
Kurtosis704.3085062
Mean-0.9821561859
Median Absolute Deviation (MAD)0.005335365854
Skewness25.7056426
Sum-806.3502287
Variance0.005180391948
2021-05-28T13:36:54.811135image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
-0.9942835366 13 0.7%
 
Other values (120) 436 22.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 
-0.8742378049 1 0.1%
 

TGP_MAX
Real number (ℝ)

MISSING
SKEWED
Distinct count130
Unique (%)15.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9821561859421881
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:54.950678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9973323171
Q1-0.9935213415
median-0.9866615854
Q3-0.9847560976
95-th percentile-0.9596036585
Maximum1
Range2
Interquartile range (IQR)0.008765243902

Descriptive statistics

Standard deviation0.07197493972
Coefficient of variation (CV)-0.07328258046
Kurtosis704.3085062
Mean-0.9821561859
Median Absolute Deviation (MAD)0.005335365854
Skewness25.7056426
Sum-806.3502287
Variance0.005180391948
2021-05-28T13:36:55.065655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
-0.9942835366 13 0.7%
 
Other values (120) 436 22.6%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 
-0.8742378049 1 0.1%
 

TGP_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

TTPA_MEDIAN
Real number (ℝ)

MISSING
Distinct count85
Unique (%)10.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8222804552926323
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:55.185344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9019073569
Q1-0.8466329311
median-0.8466329311
Q3-0.8365122616
95-th percentile-0.7057220708
Maximum1
Range2
Interquartile range (IQR)0.01012066952

Descriptive statistics

Standard deviation0.1152883424
Coefficient of variation (CV)-0.1402056216
Kurtosis95.4603198
Mean-0.8222804553
Median Absolute Deviation (MAD)0
Skewness7.957361078
Sum-675.0922538
Variance0.01329140188
2021-05-28T13:36:55.297214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
-0.9073569482 9 0.5%
 
Other values (75) 245 12.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
-0.1825613079 1 0.1%
 

TTPA_MEAN
Real number (ℝ)

MISSING
Distinct count85
Unique (%)10.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8222804552926323
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:55.420157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9019073569
Q1-0.8466329311
median-0.8466329311
Q3-0.8365122616
95-th percentile-0.7057220708
Maximum1
Range2
Interquartile range (IQR)0.01012066952

Descriptive statistics

Standard deviation0.1152883424
Coefficient of variation (CV)-0.1402056216
Kurtosis95.4603198
Mean-0.8222804553
Median Absolute Deviation (MAD)0
Skewness7.957361078
Sum-675.0922538
Variance0.01329140188
2021-05-28T13:36:55.546160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
-0.9073569482 9 0.5%
 
Other values (75) 245 12.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
-0.1825613079 1 0.1%
 

TTPA_MIN
Real number (ℝ)

MISSING
Distinct count85
Unique (%)10.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8222804552926323
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:55.669607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9019073569
Q1-0.8466329311
median-0.8466329311
Q3-0.8365122616
95-th percentile-0.7057220708
Maximum1
Range2
Interquartile range (IQR)0.01012066952

Descriptive statistics

Standard deviation0.1152883424
Coefficient of variation (CV)-0.1402056216
Kurtosis95.4603198
Mean-0.8222804553
Median Absolute Deviation (MAD)0
Skewness7.957361078
Sum-675.0922538
Variance0.01329140188
2021-05-28T13:36:55.786520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
-0.9073569482 9 0.5%
 
Other values (75) 245 12.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
-0.1825613079 1 0.1%
 

TTPA_MAX
Real number (ℝ)

MISSING
Distinct count85
Unique (%)10.4%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8222804552926323
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:55.917011image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9019073569
Q1-0.8466329311
median-0.8466329311
Q3-0.8365122616
95-th percentile-0.7057220708
Maximum1
Range2
Interquartile range (IQR)0.01012066952

Descriptive statistics

Standard deviation0.1152883424
Coefficient of variation (CV)-0.1402056216
Kurtosis95.4603198
Mean-0.8222804553
Median Absolute Deviation (MAD)0
Skewness7.957361078
Sum-675.0922538
Variance0.01329140188
2021-05-28T13:36:56.042303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
-0.9073569482 9 0.5%
 
Other values (75) 245 12.7%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
-0.1825613079 1 0.1%
 

TTPA_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

UREA_MEDIAN
Real number (ℝ)

MISSING
Distinct count112
Unique (%)13.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8301806495164582
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:56.159064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9373493976
Q1-0.8987951807
median-0.8746987952
Q3-0.8120481928
95-th percentile-0.6240963855
Maximum1
Range2
Interquartile range (IQR)0.08674698795

Descriptive statistics

Standard deviation0.1509341216
Coefficient of variation (CV)-0.1818087686
Kurtosis45.34965262
Mean-0.8301806495
Median Absolute Deviation (MAD)0.03855421687
Skewness5.441400906
Sum-681.5783133
Variance0.02278110907
2021-05-28T13:36:56.262727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
-0.9084337349 19 1.0%
 
Other values (102) 483 25.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
-0.0265060241 1 0.1%
 
-0.0313253012 1 0.1%
 

UREA_MEAN
Real number (ℝ)

MISSING
Distinct count112
Unique (%)13.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8301806495164582
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:56.376258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9373493976
Q1-0.8987951807
median-0.8746987952
Q3-0.8120481928
95-th percentile-0.6240963855
Maximum1
Range2
Interquartile range (IQR)0.08674698795

Descriptive statistics

Standard deviation0.1509341216
Coefficient of variation (CV)-0.1818087686
Kurtosis45.34965262
Mean-0.8301806495
Median Absolute Deviation (MAD)0.03855421687
Skewness5.441400906
Sum-681.5783133
Variance0.02278110907
2021-05-28T13:36:56.481217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
-0.9084337349 19 1.0%
 
Other values (102) 483 25.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
-0.0265060241 1 0.1%
 
-0.0313253012 1 0.1%
 

UREA_MIN
Real number (ℝ)

MISSING
Distinct count112
Unique (%)13.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8301806495164582
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:56.592934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9373493976
Q1-0.8987951807
median-0.8746987952
Q3-0.8120481928
95-th percentile-0.6240963855
Maximum1
Range2
Interquartile range (IQR)0.08674698795

Descriptive statistics

Standard deviation0.1509341216
Coefficient of variation (CV)-0.1818087686
Kurtosis45.34965262
Mean-0.8301806495
Median Absolute Deviation (MAD)0.03855421687
Skewness5.441400906
Sum-681.5783133
Variance0.02278110907
2021-05-28T13:36:56.703602image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
-0.9084337349 19 1.0%
 
Other values (102) 483 25.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
-0.0265060241 1 0.1%
 
-0.0313253012 1 0.1%
 

UREA_MAX
Real number (ℝ)

MISSING
Distinct count112
Unique (%)13.6%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.8301806495164582
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:56.821592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9373493976
Q1-0.8987951807
median-0.8746987952
Q3-0.8120481928
95-th percentile-0.6240963855
Maximum1
Range2
Interquartile range (IQR)0.08674698795

Descriptive statistics

Standard deviation0.1509341216
Coefficient of variation (CV)-0.1818087686
Kurtosis45.34965262
Mean-0.8301806495
Median Absolute Deviation (MAD)0.03855421687
Skewness5.441400906
Sum-681.5783133
Variance0.02278110907
2021-05-28T13:36:56.924147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
-0.9084337349 19 1.0%
 
Other values (102) 483 25.1%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
-0.0265060241 1 0.1%
 
-0.0313253012 1 0.1%
 

UREA_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

DIMER_MEDIAN
Real number (ℝ)

MISSING
Distinct count368
Unique (%)44.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9541774403483549
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:57.036565image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983810662
Q1-0.9788767683
median-0.9780287553
Q3-0.9683151524
95-th percentile-0.8668619666
Maximum1
Range2
Interquartile range (IQR)0.01056161585

Descriptive statistics

Standard deviation0.1235822878
Coefficient of variation (CV)-0.1295170925
Kurtosis120.8023445
Mean-0.9541774403
Median Absolute Deviation (MAD)0.004702617276
Skewness9.843010048
Sum-783.3796785
Variance0.01527258186
2021-05-28T13:36:57.144236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
-0.9953744748 3 0.2%
 
Other values (358) 411 21.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
-0.2118105077 1 0.1%
 

DIMER_MEAN
Real number (ℝ)

MISSING
Distinct count368
Unique (%)44.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9541774403483549
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:57.259914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983810662
Q1-0.9788767683
median-0.9780287553
Q3-0.9683151524
95-th percentile-0.8668619666
Maximum1
Range2
Interquartile range (IQR)0.01056161585

Descriptive statistics

Standard deviation0.1235822878
Coefficient of variation (CV)-0.1295170925
Kurtosis120.8023445
Mean-0.9541774403
Median Absolute Deviation (MAD)0.004702617276
Skewness9.843010048
Sum-783.3796785
Variance0.01527258186
2021-05-28T13:36:57.366301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
-0.9953744748 3 0.2%
 
Other values (358) 411 21.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
-0.2118105077 1 0.1%
 

DIMER_MIN
Real number (ℝ)

MISSING
Distinct count368
Unique (%)44.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9541774403483549
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:57.483440image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983810662
Q1-0.9788767683
median-0.9780287553
Q3-0.9683151524
95-th percentile-0.8668619666
Maximum1
Range2
Interquartile range (IQR)0.01056161585

Descriptive statistics

Standard deviation0.1235822878
Coefficient of variation (CV)-0.1295170925
Kurtosis120.8023445
Mean-0.9541774403
Median Absolute Deviation (MAD)0.004702617276
Skewness9.843010048
Sum-783.3796785
Variance0.01527258186
2021-05-28T13:36:57.587613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
-0.9953744748 3 0.2%
 
Other values (358) 411 21.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
-0.2118105077 1 0.1%
 

DIMER_MAX
Real number (ℝ)

MISSING
Distinct count368
Unique (%)44.8%
Missing1104
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean-0.9541774403483549
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:57.705015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983810662
Q1-0.9788767683
median-0.9780287553
Q3-0.9683151524
95-th percentile-0.8668619666
Maximum1
Range2
Interquartile range (IQR)0.01056161585

Descriptive statistics

Standard deviation0.1235822878
Coefficient of variation (CV)-0.1295170925
Kurtosis120.8023445
Mean-0.9541774403
Median Absolute Deviation (MAD)0.004702617276
Skewness9.843010048
Sum-783.3796785
Variance0.01527258186
2021-05-28T13:36:57.827291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
-0.9953744748 3 0.2%
 
Other values (358) 411 21.4%
 
(Missing) 1104 57.4%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
-0.2118105077 1 0.1%
 

DIMER_DIFF
Categorical

MISSING
Distinct count1
Unique (%)0.1%
Missing1104
Missing (%)57.4%
Memory size15.2 KiB
-1
821
ValueCountFrequency (%) 
-1 821 42.6%
 
(Missing) 1104 57.4%
 

BLOODPRESSURE_DIASTOLIC_MEAN
Real number (ℝ)

MISSING
Distinct count542
Unique (%)43.7%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.09363117344563199
Minimum-1.0
Maximum1.0
Zeros3
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:57.949631image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4814814815
Q1-0.2627083899
median-0.1001721676
Q30.08641975309
95-th percentile0.3333333333
Maximum1
Range2
Interquartile range (IQR)0.349128143

Descriptive statistics

Standard deviation0.2520644759
Coefficient of variation (CV)-2.692099935
Kurtosis0.4640793468
Mean-0.09363117345
Median Absolute Deviation (MAD)0.1833361736
Skewness0.2344293373
Sum-116.1026551
Variance0.06353650003
2021-05-28T13:36:58.067795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.08641975309 103 5.4%
 
-0.1604938272 94 4.9%
 
-0.4074074074 56 2.9%
 
0.3333333333 36 1.9%
 
0.03703703704 26 1.4%
 
-0.2839506173 23 1.2%
 
-0.03703703704 20 1.0%
 
-0.1111111111 20 1.0%
 
-0.06172839506 19 1.0%
 
0.01234567901 17 0.9%
 
Other values (532) 826 42.9%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8765432099 1 0.1%
 
-0.7407407407 1 0.1%
 
-0.7345679012 1 0.1%
 
-0.7283950617 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9012345679 1 0.1%
 
0.8271604938 1 0.1%
 
0.7777777778 1 0.1%
 
0.7283950617 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MEAN
Real number (ℝ)

MISSING
Distinct count604
Unique (%)48.7%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.3326004837819312
Minimum-1.0
Maximum1.0
Zeros6
Zeros (%)0.3%
Memory size15.2 KiB
2021-05-28T13:36:58.186469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7198290598
Q1-0.5230769231
median-0.3744047619
Q3-0.1846153846
95-th percentile0.1541025641
Maximum1
Range2
Interquartile range (IQR)0.3384615385

Descriptive statistics

Standard deviation0.2741015631
Coefficient of variation (CV)-0.8241165497
Kurtosis1.629953261
Mean-0.3326004838
Median Absolute Deviation (MAD)0.1640567766
Skewness0.8012903893
Sum-412.4245999
Variance0.07513166691
2021-05-28T13:36:58.301209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3846153846 75 3.9%
 
-0.5384615385 68 3.5%
 
-0.2307692308 48 2.5%
 
-0.6923076923 36 1.9%
 
-0.07692307692 32 1.7%
 
-0.3076923077 22 1.1%
 
0.07692307692 20 1.0%
 
-0.4615384615 14 0.7%
 
-0.3384615385 14 0.7%
 
-0.3692307692 13 0.7%
 
Other values (594) 898 46.6%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9846153846 1 0.1%
 
-0.9692307692 1 0.1%
 
-0.9615384615 1 0.1%
 
-0.9538461538 1 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8923076923 1 0.1%
 
0.7538461538 1 0.1%
 
0.6769230769 1 0.1%
 
0.6461538462 1 0.1%
 

HEART_RATE_MEAN
Real number (ℝ)

MISSING
Distinct count586
Unique (%)47.3%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.26470121923584883
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:58.421912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.641509434
Q1-0.4207910622
median-0.2830188679
Q3-0.1320754717
95-th percentile0.1698113208
Maximum1
Range2
Interquartile range (IQR)0.2887155905

Descriptive statistics

Standard deviation0.2467598046
Coefficient of variation (CV)-0.9322201286
Kurtosis1.688742621
Mean-0.2647012192
Median Absolute Deviation (MAD)0.1499535938
Skewness0.6710308825
Sum-328.2295119
Variance0.06089040118
2021-05-28T13:36:58.543929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3018867925 32 1.7%
 
-0.2641509434 26 1.4%
 
-0.4716981132 24 1.2%
 
-0.1886792453 24 1.2%
 
-0.4528301887 23 1.2%
 
-0.3962264151 23 1.2%
 
-0.4150943396 23 1.2%
 
-0.2830188679 21 1.1%
 
-0.3396226415 21 1.1%
 
-0.1698113208 21 1.1%
 
Other values (576) 1002 52.1%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9339622642 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8490566038 1 0.1%
 
-0.832884097 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9056603774 1 0.1%
 
0.7730406386 1 0.1%
 
0.6603773585 1 0.1%
 
0.641509434 1 0.1%
 

RESPIRATORY_RATE_MEAN
Real number (ℝ)

MISSING
Distinct count458
Unique (%)38.9%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.4387544780977712
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:58.655162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6610169492
Q1-0.5525423729
median-0.5028248588
Q3-0.3832887303
95-th percentile-0.05084745763
Maximum1
Range2
Interquartile range (IQR)0.1692536426

Descriptive statistics

Standard deviation0.2171132468
Coefficient of variation (CV)-0.4948399565
Kurtosis7.540780074
Mean-0.4387544781
Median Absolute Deviation (MAD)0.09039548023
Skewness2.053882795
Sum-516.4140207
Variance0.04713816195
2021-05-28T13:36:58.760952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.5254237288 165 8.6%
 
-0.593220339 107 5.6%
 
-0.4576271186 88 4.6%
 
-0.3898305085 62 3.2%
 
-0.6610169492 59 3.1%
 
-0.2542372881 35 1.8%
 
-0.3220338983 24 1.2%
 
-0.1186440678 20 1.0%
 
-0.186440678 18 0.9%
 
-0.7288135593 17 0.9%
 
Other values (448) 582 30.2%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9548022599 1 0.1%
 
-0.9322033898 4 0.2%
 
-0.8644067797 3 0.2%
 
-0.8480853735 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8305084746 3 0.2%
 
0.7220338983 1 0.1%
 
0.6949152542 1 0.1%
 
0.604519774 1 0.1%
 

TEMPERATURE_MEAN
Real number (ℝ)

MISSING
ZEROS
Distinct count570
Unique (%)46.3%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean0.06689253564216623
Minimum-1.0
Maximum1.0
Zeros27
Zeros (%)1.4%
Memory size15.2 KiB
2021-05-28T13:36:58.878818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2648351648
Q1-0.1029913493
median0.03571428571
Q30.2058900615
95-th percentile0.5357142857
Maximum1
Range2
Interquartile range (IQR)0.3088814108

Descriptive statistics

Standard deviation0.2428576962
Coefficient of variation (CV)3.630564963
Kurtosis1.039081456
Mean0.06689253564
Median Absolute Deviation (MAD)0.1428571429
Skewness0.4916309253
Sum82.34471138
Variance0.0589798606
2021-05-28T13:36:58.991471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1071428571 61 3.2%
 
0.25 42 2.2%
 
0.1071428571 38 2.0%
 
-0.03571428571 37 1.9%
 
-0.07142857143 32 1.7%
 
0.1785714286 32 1.7%
 
0.03571428571 31 1.6%
 
0.07142857143 29 1.5%
 
0 27 1.4%
 
-0.1428571429 26 1.4%
 
Other values (560) 876 45.5%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8035714286 1 0.1%
 
-0.7678571429 1 0.1%
 
-0.630952381 1 0.1%
 
-0.5785714286 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9642857143 1 0.1%
 
0.9285714286 1 0.1%
 
0.8214285714 3 0.2%
 
0.7857142857 4 0.2%
 

OXYGEN_SATURATION_MEAN
Real number (ℝ)

MISSING
Distinct count455
Unique (%)36.7%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean0.7430768560337878
Minimum-1.0
Maximum0.9999999999999991
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:59.110913image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.5789473684
Q10.6842105263
median0.7368421053
Q30.8239954726
95-th percentile0.89917154
Maximum1
Range2
Interquartile range (IQR)0.1397849462

Descriptive statistics

Standard deviation0.132635304
Coefficient of variation (CV)0.1784947316
Kurtosis34.89434876
Mean0.743076856
Median Absolute Deviation (MAD)0.06020249932
Skewness-3.563042283
Sum920.6722246
Variance0.01759212386
2021-05-28T13:36:59.226582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.7894736842 119 6.2%
 
0.7368421053 115 6.0%
 
0.8421052632 101 5.2%
 
0.6842105263 85 4.4%
 
0.8947368421 73 3.8%
 
0.6315789474 56 2.9%
 
0.5789473684 43 2.2%
 
0.9473684211 29 1.5%
 
0.5263157895 17 0.9%
 
1 16 0.8%
 
Other values (445) 585 30.4%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5 1 0.1%
 
-0.2043343653 1 0.1%
 
-0.08771929825 1 0.1%
 
-0.05263157895 1 0.1%
 
ValueCountFrequency (%) 
1 16 0.8%
 
0.9649122807 1 0.1%
 
0.9641148325 1 0.1%
 
0.9473684211 29 1.5%
 
0.9356725146 1 0.1%
 

BLOODPRESSURE_DIASTOLIC_MEDIAN
Real number (ℝ)

MISSING
Distinct count91
Unique (%)7.3%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.09778972520908008
Minimum-1.0
Maximum1.0
Zeros4
Zeros (%)0.2%
Memory size15.2 KiB
2021-05-28T13:36:59.344885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4814814815
Q1-0.2839506173
median-0.1358024691
Q30.08641975309
95-th percentile0.3333333333
Maximum1
Range2
Interquartile range (IQR)0.3703703704

Descriptive statistics

Standard deviation0.2577329094
Coefficient of variation (CV)-2.635582714
Kurtosis0.3480871488
Mean-0.09778972521
Median Absolute Deviation (MAD)0.2222222222
Skewness0.22059806
Sum-121.2592593
Variance0.06642625257
2021-05-28T13:36:59.455832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.08641975309 197 10.2%
 
-0.1604938272 189 9.8%
 
-0.4074074074 83 4.3%
 
0.3333333333 54 2.8%
 
-0.2839506173 42 2.2%
 
-0.03703703704 34 1.8%
 
-0.1111111111 33 1.7%
 
0.03703703704 29 1.5%
 
-0.1851851852 28 1.5%
 
-0.2098765432 27 1.4%
 
Other values (81) 524 27.2%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9012345679 1 0.1%
 
-0.8765432099 1 0.1%
 
-0.7407407407 1 0.1%
 
-0.7283950617 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9012345679 1 0.1%
 
0.8271604938 1 0.1%
 
0.7777777778 1 0.1%
 
0.7283950617 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MEDIAN
Real number (ℝ)

MISSING
Distinct count133
Unique (%)10.7%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.3384677419354838
Minimum-1.0
Maximum1.0
Zeros8
Zeros (%)0.4%
Memory size15.2 KiB
2021-05-28T13:36:59.577688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7230769231
Q1-0.5384615385
median-0.3846153846
Q3-0.2
95-th percentile0.1538461538
Maximum1
Range2
Interquartile range (IQR)0.3384615385

Descriptive statistics

Standard deviation0.2779523754
Coefficient of variation (CV)-0.8212078757
Kurtosis1.722864404
Mean-0.3384677419
Median Absolute Deviation (MAD)0.1538461538
Skewness0.8386808779
Sum-419.7
Variance0.07725752297
2021-05-28T13:36:59.681387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3846153846 135 7.0%
 
-0.5384615385 127 6.6%
 
-0.2307692308 88 4.6%
 
-0.07692307692 56 2.9%
 
-0.6923076923 54 2.8%
 
-0.3076923077 31 1.6%
 
-0.3692307692 25 1.3%
 
-0.4461538462 24 1.2%
 
-0.4615384615 24 1.2%
 
-0.3384615385 23 1.2%
 
Other values (123) 653 33.9%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 4 0.2%
 
-0.9846153846 1 0.1%
 
-0.9538461538 1 0.1%
 
-0.9384615385 1 0.1%
 
-0.8923076923 2 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8923076923 1 0.1%
 
0.8307692308 1 0.1%
 
0.6769230769 1 0.1%
 
0.6461538462 1 0.1%
 

HEART_RATE_MEDIAN
Real number (ℝ)

MISSING
Distinct count121
Unique (%)9.8%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.2686320754716982
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:36:59.794781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.641509434
Q1-0.4339622642
median-0.2830188679
Q3-0.1320754717
95-th percentile0.1698113208
Maximum1
Range2
Interquartile range (IQR)0.3018867925

Descriptive statistics

Standard deviation0.2527093935
Coefficient of variation (CV)-0.9407268027
Kurtosis1.797108277
Mean-0.2686320755
Median Absolute Deviation (MAD)0.1509433962
Skewness0.7094701097
Sum-333.1037736
Variance0.06386203755
2021-05-28T13:36:59.903555image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.3018867925 51 2.6%
 
-0.2641509434 50 2.6%
 
-0.4528301887 46 2.4%
 
-0.1886792453 44 2.3%
 
-0.1698113208 40 2.1%
 
-0.3396226415 38 2.0%
 
-0.2830188679 37 1.9%
 
-0.4150943396 37 1.9%
 
-0.4716981132 36 1.9%
 
-0.3773584906 36 1.9%
 
Other values (111) 825 42.9%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9339622642 1 0.1%
 
-0.8867924528 2 0.1%
 
-0.8490566038 2 0.1%
 
-0.8301886792 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9622641509 1 0.1%
 
0.9056603774 1 0.1%
 
0.7735849057 1 0.1%
 
0.6603773585 1 0.1%
 

RESPIRATORY_RATE_MEDIAN
Real number (ℝ)

MISSING
Distinct count40
Unique (%)3.4%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.43512143673278064
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:00.020503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6551724138
Q1-0.5172413793
median-0.5172413793
Q3-0.3793103448
95-th percentile-0.03448275862
Maximum1
Range2
Interquartile range (IQR)0.1379310345

Descriptive statistics

Standard deviation0.2255538117
Coefficient of variation (CV)-0.518369799
Kurtosis8.320183407
Mean-0.4351214367
Median Absolute Deviation (MAD)0.06896551724
Skewness2.225660602
Sum-512.137931
Variance0.05087452198
2021-05-28T13:37:00.128190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.5172413793 360 18.7%
 
-0.5862068966 154 8.0%
 
-0.4482758621 140 7.3%
 
-0.3793103448 120 6.2%
 
-0.6551724138 75 3.9%
 
-0.2413793103 63 3.3%
 
-0.3103448276 42 2.2%
 
-0.1034482759 31 1.6%
 
-0.1724137931 30 1.6%
 
-0.724137931 19 1.0%
 
Other values (30) 143 7.4%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9310344828 6 0.3%
 
-0.8620689655 3 0.2%
 
-0.7931034483 14 0.7%
 
-0.724137931 19 1.0%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8620689655 3 0.2%
 
0.724137931 2 0.1%
 
0.5862068966 1 0.1%
 
0.5172413793 1 0.1%
 

TEMPERATURE_MEDIAN
Real number (ℝ)

MISSING
ZEROS
Distinct count86
Unique (%)7.0%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean0.0637983056748294
Minimum-1.0
Maximum1.0
Zeros64
Zeros (%)3.3%
Memory size15.2 KiB
2021-05-28T13:37:00.243219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2589285714
Q1-0.1071428571
median0.03571428571
Q30.1964285714
95-th percentile0.5357142857
Maximum1
Range2
Interquartile range (IQR)0.3035714286

Descriptive statistics

Standard deviation0.2492081593
Coefficient of variation (CV)3.906187737
Kurtosis1.038093024
Mean0.06379830567
Median Absolute Deviation (MAD)0.1428571429
Skewness0.5287521596
Sum78.53571429
Variance0.06210470666
2021-05-28T13:37:00.801603image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.1071428571 129 6.7%
 
-0.03571428571 83 4.3%
 
0.03571428571 80 4.2%
 
-0.07142857143 75 3.9%
 
0.1071428571 69 3.6%
 
0 64 3.3%
 
0.1428571429 56 2.9%
 
0.25 56 2.9%
 
0.1785714286 52 2.7%
 
0.07142857143 50 2.6%
 
Other values (76) 517 26.9%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8035714286 1 0.1%
 
-0.7857142857 1 0.1%
 
-0.7678571429 1 0.1%
 
-0.6071428571 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9642857143 1 0.1%
 
0.9285714286 1 0.1%
 
0.8928571429 1 0.1%
 
0.8214285714 4 0.2%
 

OXYGEN_SATURATION_MEDIAN
Real number (ℝ)

MISSING
Distinct count28
Unique (%)2.3%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean0.7485875706214684
Minimum-1.0
Maximum0.9999999999999991
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:00.915072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.5789473684
Q10.6842105263
median0.7368421053
Q30.8421052632
95-th percentile0.8947368421
Maximum1
Range2
Interquartile range (IQR)0.1578947368

Descriptive statistics

Standard deviation0.1259935627
Coefficient of variation (CV)0.1683083819
Kurtosis32.75097247
Mean0.7485875706
Median Absolute Deviation (MAD)0.05263157895
Skewness-2.979606531
Sum927.5
Variance0.01587437785
2021-05-28T13:37:01.028238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.7368421053 249 12.9%
 
0.7894736842 218 11.3%
 
0.6842105263 189 9.8%
 
0.8421052632 159 8.3%
 
0.8947368421 105 5.5%
 
0.6315789474 105 5.5%
 
0.5789473684 53 2.8%
 
0.9473684211 38 2.0%
 
1 21 1.1%
 
0.5263157895 20 1.0%
 
Other values (18) 82 4.3%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.05263157895 1 0.1%
 
0.05263157895 2 0.1%
 
0.1578947368 1 0.1%
 
0.2631578947 4 0.2%
 
ValueCountFrequency (%) 
1 21 1.1%
 
0.9473684211 38 2.0%
 
0.9210526316 2 0.1%
 
0.8947368421 105 5.5%
 
0.8684210526 7 0.4%
 

BLOODPRESSURE_DIASTOLIC_MIN
Real number (ℝ)

MISSING
Distinct count84
Unique (%)6.8%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.04085467243099424
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:01.146298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5051546392
Q1-0.1958762887
median-0.03092783505
Q30.175257732
95-th percentile0.4432989691
Maximum1
Range2
Interquartile range (IQR)0.3711340206

Descriptive statistics

Standard deviation0.2813042799
Coefficient of variation (CV)-6.885486119
Kurtosis0.3559119084
Mean-0.04085467243
Median Absolute Deviation (MAD)0.1855670103
Skewness-0.03267178867
Sum-50.65979381
Variance0.07913209791
2021-05-28T13:37:01.256691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.175257732 177 9.2%
 
0.03092783505 162 8.4%
 
0.2371134021 119 6.2%
 
0.4432989691 41 2.1%
 
-0.381443299 32 1.7%
 
-0.07216494845 31 1.6%
 
-0.2164948454 31 1.6%
 
-0.2577319588 26 1.4%
 
0.1958762887 25 1.3%
 
0.01030927835 23 1.2%
 
Other values (74) 573 29.8%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9793814433 1 0.1%
 
-0.9381443299 1 0.1%
 
-0.8969072165 1 0.1%
 
-0.8556701031 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9175257732 1 0.1%
 
0.8556701031 1 0.1%
 
0.8144329897 1 0.1%
 
0.7731958763 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MIN
Real number (ℝ)

MISSING
ZEROS
Distinct count127
Unique (%)10.2%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.20781249999999996
Minimum-1.0
Maximum1.0
Zeros62
Zeros (%)3.2%
Memory size15.2 KiB
2021-05-28T13:37:01.375728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.625
Q1-0.375
median-0.25
Q3-0.05
95-th percentile0.2625
Maximum1
Range2
Interquartile range (IQR)0.325

Descriptive statistics

Standard deviation0.2778024679
Coefficient of variation (CV)-1.336793831
Kurtosis0.9719930411
Mean-0.2078125
Median Absolute Deviation (MAD)0.15
Skewness0.4233848515
Sum-257.6875
Variance0.07717421118
2021-05-28T13:37:01.481513image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.375 134 7.0%
 
-0.25 126 6.5%
 
-0.125 106 5.5%
 
0 62 3.2%
 
-0.5 44 2.3%
 
0.125 35 1.8%
 
0.25 21 1.1%
 
-0.0625 21 1.1%
 
-0.325 18 0.9%
 
-0.175 17 0.9%
 
Other values (117) 656 34.1%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 4 0.2%
 
-0.9875 1 0.1%
 
-0.975 1 0.1%
 
-0.9375 1 0.1%
 
-0.9125 2 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.9125 1 0.1%
 
0.7375 1 0.1%
 
0.7125 1 0.1%
 
0.675 1 0.1%
 

HEART_RATE_MIN
Real number (ℝ)

MISSING
Distinct count95
Unique (%)7.7%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.26499862145023423
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:01.598665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6581196581
Q1-0.452991453
median-0.2820512821
Q3-0.09401709402
95-th percentile0.2136752137
Maximum1
Range2
Interquartile range (IQR)0.358974359

Descriptive statistics

Standard deviation0.2727249442
Coefficient of variation (CV)-1.029156087
Kurtosis0.8635365628
Mean-0.2649986215
Median Absolute Deviation (MAD)0.1709401709
Skewness0.4872801798
Sum-328.5982906
Variance0.07437889521
2021-05-28T13:37:01.709169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4871794872 47 2.4%
 
-0.3333333333 43 2.2%
 
-0.3162393162 43 2.2%
 
-0.1794871795 41 2.1%
 
-0.2820512821 37 1.9%
 
-0.4188034188 34 1.8%
 
-0.3504273504 34 1.8%
 
-0.452991453 32 1.7%
 
-0.4017094017 31 1.6%
 
-0.1623931624 30 1.6%
 
Other values (85) 868 45.1%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9829059829 1 0.1%
 
-0.9658119658 1 0.1%
 
-0.9487179487 1 0.1%
 
-0.9145299145 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9145299145 1 0.1%
 
0.6923076923 1 0.1%
 
0.6752136752 1 0.1%
 
0.641025641 1 0.1%
 

RESPIRATORY_RATE_MIN
Real number (ℝ)

MISSING
ZEROS
Distinct count28
Unique (%)2.4%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.4831290205121981
Minimum-1.0
Maximum0.9999999999999998
Zeros20
Zeros (%)1.0%
Memory size15.2 KiB
2021-05-28T13:37:01.823629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9285714286
Q1-0.6428571429
median-0.5
Q3-0.3571428571
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.2857142857

Descriptive statistics

Standard deviation0.2782393344
Coefficient of variation (CV)-0.5759110352
Kurtosis3.974511639
Mean-0.4831290205
Median Absolute Deviation (MAD)0.1428571429
Skewness1.122701582
Sum-568.6428571
Variance0.07741712719
2021-05-28T13:37:01.925422image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4285714286 199 10.3%
 
-0.5714285714 177 9.2%
 
-0.5 155 8.1%
 
-0.3571428571 101 5.2%
 
-0.6428571429 95 4.9%
 
-0.2857142857 76 3.9%
 
-0.8571428571 62 3.2%
 
-0.7142857143 56 2.9%
 
-1 41 2.1%
 
-0.1428571429 40 2.1%
 
Other values (18) 175 9.1%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 41 2.1%
 
-0.9285714286 36 1.9%
 
-0.8571428571 62 3.2%
 
-0.7857142857 28 1.5%
 
-0.7142857143 56 2.9%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.9285714286 1 0.1%
 
0.8571428571 1 0.1%
 
0.7857142857 1 0.1%
 
0.7142857143 1 0.1%
 

TEMPERATURE_MIN
Real number (ℝ)

MISSING
Distinct count61
Unique (%)5.0%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean0.3268226493246804
Minimum-1.0
Maximum1.000000000000001
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:02.036323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.01098901099
Q10.1868131868
median0.3186813187
Q30.4725274725
95-th percentile0.6923076923
Maximum1
Range2
Interquartile range (IQR)0.2857142857

Descriptive statistics

Standard deviation0.2161979873
Coefficient of variation (CV)0.6615147014
Kurtosis1.980480346
Mean0.3268226493
Median Absolute Deviation (MAD)0.1538461538
Skewness-0.2399905973
Sum402.3186813
Variance0.04674156971
2021-05-28T13:37:02.136377image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0989010989 99 5.1%
 
0.3186813187 88 4.6%
 
0.5384615385 51 2.6%
 
0.3406593407 49 2.5%
 
0.2087912088 49 2.5%
 
0.3626373626 49 2.5%
 
0.2307692308 49 2.5%
 
0.4505494505 47 2.4%
 
0.4065934066 46 2.4%
 
0.1428571429 44 2.3%
 
Other values (51) 660 34.3%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.978021978 1 0.1%
 
-0.3406593407 2 0.1%
 
-0.3186813187 2 0.1%
 
-0.2967032967 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.978021978 1 0.1%
 
0.956043956 1 0.1%
 
0.8901098901 3 0.2%
 
0.8681318681 4 0.2%
 

OXYGEN_SATURATION_MIN
Real number (ℝ)

MISSING
Distinct count53
Unique (%)4.3%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean0.8175654853620958
Minimum-0.9999999999999999
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:02.250009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.595959596
Q10.8181818182
median0.8787878788
Q30.9191919192
95-th percentile0.9595959596
Maximum1
Range2
Interquartile range (IQR)0.101010101

Descriptive statistics

Standard deviation0.2834528667
Coefficient of variation (CV)0.3467035629
Kurtosis25.68093484
Mean0.8175654854
Median Absolute Deviation (MAD)0.0404040404
Skewness-4.967205852
Sum1012.963636
Variance0.08034552762
2021-05-28T13:37:02.372632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.898989899 155 8.1%
 
0.8787878788 153 7.9%
 
0.9191919192 146 7.6%
 
0.8585858586 136 7.1%
 
0.9393939394 112 5.8%
 
0.8383838384 100 5.2%
 
0.9595959596 80 4.2%
 
0.8181818182 68 3.5%
 
0.797979798 63 3.3%
 
0.7575757576 34 1.8%
 
Other values (43) 192 10.0%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9595959596 1 0.1%
 
-0.9393939394 2 0.1%
 
-0.9191919192 6 0.3%
 
-0.898989899 1 0.1%
 
ValueCountFrequency (%) 
1 16 0.8%
 
0.9797979798 26 1.4%
 
0.9595959596 80 4.2%
 
0.9393939394 112 5.8%
 
0.9191919192 146 7.6%
 

BLOODPRESSURE_DIASTOLIC_MAX
Real number (ℝ)

MISSING
Distinct count90
Unique (%)7.3%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.23500137854976555
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:02.499020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6068376068
Q1-0.4188034188
median-0.2478632479
Q3-0.07692307692
95-th percentile0.2307692308
Maximum1
Range2
Interquartile range (IQR)0.3418803419

Descriptive statistics

Standard deviation0.2711230408
Coefficient of variation (CV)-1.153708299
Kurtosis1.699791002
Mean-0.2350013785
Median Absolute Deviation (MAD)0.1709401709
Skewness0.8640835843
Sum-291.4017094
Variance0.07350770326
2021-05-28T13:37:02.613308image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.2478632479 183 9.5%
 
-0.4188034188 107 5.6%
 
-0.07692307692 103 5.4%
 
-0.5897435897 63 3.3%
 
0.09401709402 34 1.8%
 
-0.5042735043 28 1.5%
 
-0.2820512821 28 1.5%
 
-0.2991452991 27 1.4%
 
-0.3846153846 25 1.3%
 
-0.3333333333 23 1.2%
 
Other values (80) 619 32.2%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9145299145 1 0.1%
 
-0.811965812 2 0.1%
 
-0.7606837607 3 0.2%
 
-0.7264957265 7 0.4%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8461538462 2 0.1%
 
0.7777777778 4 0.2%
 
0.7435897436 1 0.1%
 
0.7264957265 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MAX
Real number (ℝ)

MISSING
Distinct count135
Unique (%)10.9%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.3995815170008718
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:02.728231image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7837837838
Q1-0.5783783784
median-0.4594594595
Q3-0.2432432432
95-th percentile0.1459459459
Maximum1
Range2
Interquartile range (IQR)0.3351351351

Descriptive statistics

Standard deviation0.2875795897
Coefficient of variation (CV)-0.7197019318
Kurtosis0.971901671
Mean-0.399581517
Median Absolute Deviation (MAD)0.1837837838
Skewness0.8745473206
Sum-495.4810811
Variance0.08270202041
2021-05-28T13:37:02.837397image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.5675675676 109 5.7%
 
-0.4594594595 94 4.9%
 
-0.6756756757 81 4.2%
 
-0.3513513514 67 3.5%
 
-0.7837837838 38 2.0%
 
-0.2432432432 36 1.9%
 
-0.1351351351 24 1.2%
 
-0.5567567568 21 1.1%
 
-0.6108108108 19 1.0%
 
-0.2648648649 19 1.0%
 
Other values (125) 732 38.0%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9891891892 1 0.1%
 
-0.9351351351 1 0.1%
 
-0.9243243243 1 0.1%
 
-0.9135135135 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6324324324 1 0.1%
 
0.6216216216 1 0.1%
 
0.5891891892 1 0.1%
 
0.5783783784 1 0.1%
 

HEART_RATE_MAX
Real number (ℝ)

MISSING
Distinct count110
Unique (%)8.9%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.2820293692826192
Minimum-1.0
Maximum0.9999999999999998
Zeros13
Zeros (%)0.7%
Memory size15.2 KiB
2021-05-28T13:37:02.957209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.671641791
Q1-0.4776119403
median-0.328358209
Q3-0.1194029851
95-th percentile0.2544776119
Maximum1
Range2
Interquartile range (IQR)0.3582089552

Descriptive statistics

Standard deviation0.2962473253
Coefficient of variation (CV)-1.050413033
Kurtosis1.908152954
Mean-0.2820293693
Median Absolute Deviation (MAD)0.1791044776
Skewness1.051338234
Sum-349.7164179
Variance0.08776247774
2021-05-28T13:37:03.069547image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.4179104478 42 2.2%
 
-0.447761194 39 2.0%
 
-0.2985074627 37 1.9%
 
-0.328358209 35 1.8%
 
-0.3134328358 32 1.7%
 
-0.3582089552 31 1.6%
 
-0.1791044776 30 1.6%
 
-0.3880597015 29 1.5%
 
-0.5671641791 29 1.5%
 
-0.3432835821 28 1.5%
 
Other values (100) 908 47.2%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9402985075 1 0.1%
 
-0.9104477612 1 0.1%
 
-0.8805970149 1 0.1%
 
-0.8656716418 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9850746269 1 0.1%
 
0.9402985075 1 0.1%
 
0.8805970149 1 0.1%
 
0.8656716418 1 0.1%
 

RESPIRATORY_RATE_MAX
Real number (ℝ)

MISSING
Distinct count34
Unique (%)2.9%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.3167529157333746
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:03.188742image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.696969697
Q1-0.5757575758
median-0.4545454545
Q3-0.2121212121
95-th percentile0.6363636364
Maximum1
Range2
Interquartile range (IQR)0.3636363636

Descriptive statistics

Standard deviation0.40267462
Coefficient of variation (CV)-1.271257816
Kurtosis1.485289854
Mean-0.3167529157
Median Absolute Deviation (MAD)0.1212121212
Skewness1.474912615
Sum-372.8181818
Variance0.1621468496
2021-05-28T13:37:03.295935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.5757575758 198 10.3%
 
-0.4545454545 155 8.1%
 
-0.5151515152 136 7.1%
 
-0.6363636364 108 5.6%
 
-0.696969697 64 3.3%
 
-0.3333333333 60 3.1%
 
-0.3939393939 51 2.6%
 
-0.2727272727 43 2.2%
 
-0.2121212121 36 1.9%
 
-0.1515151515 31 1.6%
 
Other values (24) 295 15.3%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9393939394 5 0.3%
 
-0.8787878788 3 0.2%
 
-0.8181818182 8 0.4%
 
-0.7575757576 18 0.9%
 
ValueCountFrequency (%) 
1 6 0.3%
 
0.9393939394 7 0.4%
 
0.8787878788 13 0.7%
 
0.8181818182 5 0.3%
 
0.7575757576 12 0.6%
 

TEMPERATURE_MAX
Real number (ℝ)

MISSING
Distinct count55
Unique (%)4.5%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean0.014963679817280917
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:03.411049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3623188406
Q1-0.1884057971
median-0.01449275362
Q30.2173913043
95-th percentile0.4782608696
Maximum1
Range2
Interquartile range (IQR)0.4057971014

Descriptive statistics

Standard deviation0.2761625985
Coefficient of variation (CV)18.4555271
Kurtosis-0.1717802071
Mean0.01496367982
Median Absolute Deviation (MAD)0.2028985507
Skewness0.3298744727
Sum18.42028986
Variance0.07626578078
2021-05-28T13:37:03.516498image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.01449275362 76 3.9%
 
-0.2753623188 64 3.3%
 
-0.1014492754 63 3.3%
 
-0.2173913043 54 2.8%
 
-0.07246376812 52 2.7%
 
-0.04347826087 50 2.6%
 
-0.1304347826 48 2.5%
 
-0.1594202899 46 2.4%
 
0.3043478261 46 2.4%
 
0.1304347826 38 2.0%
 
Other values (45) 694 36.1%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.652173913 1 0.1%
 
-0.6231884058 1 0.1%
 
-0.5942028986 2 0.1%
 
-0.5652173913 11 0.6%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9130434783 1 0.1%
 
0.884057971 2 0.1%
 
0.8550724638 1 0.1%
 
0.768115942 3 0.2%
 

OXYGEN_SATURATION_MAX
Real number (ℝ)

MISSING
Distinct count20
Unique (%)1.6%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean0.8185930929017452
Minimum-1.0
Maximum0.9999999999999991
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:03.627104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.5789473684
Q10.7368421053
median0.8421052632
Q30.8947368421
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0.1578947368

Descriptive statistics

Standard deviation0.1413155022
Coefficient of variation (CV)0.1726321703
Kurtosis23.66254979
Mean0.8185930929
Median Absolute Deviation (MAD)0.1052631579
Skewness-2.540985668
Sum1014.236842
Variance0.01997007116
2021-05-28T13:37:03.738302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.8947368421 217 11.3%
 
0.8421052632 185 9.6%
 
0.7894736842 179 9.3%
 
1 151 7.8%
 
0.7368421053 142 7.4%
 
0.9473684211 132 6.9%
 
0.6842105263 97 5.0%
 
0.6315789474 59 3.1%
 
0.5789473684 43 2.2%
 
0.5263157895 15 0.8%
 
Other values (10) 19 1.0%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.05263157895 1 0.1%
 
0.05263157895 1 0.1%
 
0.1578947368 1 0.1%
 
0.2631578947 2 0.1%
 
ValueCountFrequency (%) 
1 151 7.8%
 
0.9736842105 1 0.1%
 
0.9473684211 132 6.9%
 
0.8947368421 217 11.3%
 
0.8421052632 185 9.6%
 

BLOODPRESSURE_DIASTOLIC_DIFF
Real number (ℝ)

MISSING
Distinct count90
Unique (%)7.3%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.7524544179523142
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:03.859770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.5652173913
95-th percentile0.07913043478
Maximum1
Range2
Interquartile range (IQR)0.4347826087

Descriptive statistics

Standard deviation0.3640005923
Coefficient of variation (CV)-0.4837510201
Kurtosis2.771613887
Mean-0.752454418
Median Absolute Deviation (MAD)0
Skewness1.713590738
Sum-933.0434783
Variance0.1324964312
2021-05-28T13:37:03.970047image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.652173913 50 2.6%
 
-0.8260869565 40 2.1%
 
-0.4782608696 28 1.5%
 
-0.9826086957 17 0.9%
 
-0.9130434783 17 0.9%
 
-0.9304347826 17 0.9%
 
-0.4434782609 16 0.8%
 
-0.5826086957 14 0.7%
 
-0.8956521739 13 0.7%
 
Other values (80) 404 21.0%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.9826086957 17 0.9%
 
-0.9652173913 11 0.6%
 
-0.947826087 11 0.6%
 
-0.9304347826 17 0.9%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9130434783 1 0.1%
 
0.8086956522 1 0.1%
 
0.7913043478 2 0.1%
 
0.652173913 1 0.1%
 

BLOODPRESSURE_SISTOLIC_DIFF
Real number (ℝ)

MISSING
Distinct count128
Unique (%)10.3%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.7280526419948545
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:04.087051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.9877300613
Q3-0.5582822086
95-th percentile0.1779141104
Maximum1
Range2
Interquartile range (IQR)0.4417177914

Descriptive statistics

Standard deviation0.4086771322
Coefficient of variation (CV)-0.5613290972
Kurtosis2.787823721
Mean-0.728052642
Median Absolute Deviation (MAD)0.01226993865
Skewness1.772781722
Sum-902.7852761
Variance0.1670169984
2021-05-28T13:37:04.196754image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.8773006135 35 1.8%
 
-0.754601227 27 1.4%
 
-0.6319018405 25 1.3%
 
-0.509202454 19 1.0%
 
-0.8527607362 14 0.7%
 
-0.2883435583 13 0.7%
 
-0.8895705521 12 0.6%
 
-0.9386503067 12 0.6%
 
-0.9263803681 12 0.6%
 
Other values (118) 456 23.7%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9877300613 7 0.4%
 
-0.9754601227 9 0.5%
 
-0.963190184 8 0.4%
 
-0.9509202454 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9141104294 2 0.1%
 
0.8895705521 1 0.1%
 
0.8773006135 1 0.1%
 
0.8527607362 1 0.1%
 

HEART_RATE_DIFF
Real number (ℝ)

MISSING
Distinct count101
Unique (%)8.1%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.7540999753755232
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:04.313088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.9847328244
Q3-0.5419847328
95-th percentile0.008396946565
Maximum1
Range2
Interquartile range (IQR)0.4580152672

Descriptive statistics

Standard deviation0.3663485304
Coefficient of variation (CV)-0.4858089674
Kurtosis2.560374961
Mean-0.7540999754
Median Absolute Deviation (MAD)0.01526717557
Skewness1.686908332
Sum-935.0839695
Variance0.1342112457
2021-05-28T13:37:04.420350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9236641221 22 1.1%
 
-0.9847328244 20 1.0%
 
-0.8778625954 19 1.0%
 
-0.9083969466 18 0.9%
 
-0.5419847328 18 0.9%
 
-0.9541984733 18 0.9%
 
-0.9389312977 16 0.8%
 
-0.4809160305 15 0.8%
 
-0.9694656489 14 0.7%
 
Other values (91) 465 24.2%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9847328244 20 1.0%
 
-0.9694656489 14 0.7%
 
-0.9541984733 18 0.9%
 
-0.9389312977 16 0.8%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.893129771 1 0.1%
 
0.786259542 1 0.1%
 
0.6946564885 1 0.1%
 
0.6641221374 1 0.1%
 

RESPIRATORY_RATE_DIFF
Real number (ℝ)

MISSING
Distinct count35
Unique (%)3.0%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.7036833424958768
Minimum-1.0
Maximum1.0
Zeros10
Zeros (%)0.5%
Memory size15.2 KiB
2021-05-28T13:37:04.535439image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.6470588235
95-th percentile0.4705882353
Maximum1
Range2
Interquartile range (IQR)0.3529411765

Descriptive statistics

Standard deviation0.4820970244
Coefficient of variation (CV)-0.6851050683
Kurtosis2.309337412
Mean-0.7036833425
Median Absolute Deviation (MAD)0
Skewness1.816216302
Sum-828.2352941
Variance0.232417541
2021-05-28T13:37:04.644801image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.7647058824 63 3.3%
 
-0.8823529412 55 2.9%
 
-0.9411764706 46 2.4%
 
-0.7058823529 44 2.3%
 
-0.8235294118 44 2.3%
 
-0.6470588235 36 1.9%
 
-0.5882352941 28 1.5%
 
-0.4705882353 15 0.8%
 
0.05882352941 14 0.7%
 
Other values (25) 222 11.5%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.9411764706 46 2.4%
 
-0.8823529412 55 2.9%
 
-0.8235294118 44 2.3%
 
-0.7647058824 63 3.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9411764706 4 0.2%
 
0.8823529412 9 0.5%
 
0.8235294118 5 0.3%
 
0.7647058824 8 0.4%
 

TEMPERATURE_DIFF
Real number (ℝ)

MISSING
Distinct count91
Unique (%)7.4%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean-0.770337704537542
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:04.764105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.9761904762
Q3-0.5952380952
95-th percentile-0.1071428571
Maximum1
Range2
Interquartile range (IQR)0.4047619048

Descriptive statistics

Standard deviation0.319000505
Coefficient of variation (CV)-0.4141047532
Kurtosis1.689863871
Mean-0.7703377045
Median Absolute Deviation (MAD)0.02380952381
Skewness1.437000147
Sum-948.2857143
Variance0.1017613222
2021-05-28T13:37:04.877121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.8571428571 27 1.4%
 
-0.9761904762 26 1.4%
 
-0.6428571429 25 1.3%
 
-0.880952381 24 1.2%
 
-0.8333333333 21 1.1%
 
-0.4285714286 20 1.0%
 
-0.9047619048 20 1.0%
 
-0.619047619 18 0.9%
 
-0.5238095238 18 0.9%
 
Other values (81) 442 23.0%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.9761904762 4 0.2%
 
-0.9761904762 26 1.4%
 
-0.9523809524 15 0.8%
 
-0.9523809524 10 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8571428571 1 0.1%
 
0.380952381 1 0.1%
 
0.3333333333 2 0.1%
 
0.2857142857 2 0.1%
 

OXYGEN_SATURATION_DIFF
Real number (ℝ)

MISSING
Distinct count54
Unique (%)4.4%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.8871964193998092
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:04.995584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.9797979798
Q3-0.8787878788
95-th percentile-0.6363636364
Maximum1
Range2
Interquartile range (IQR)0.1212121212

Descriptive statistics

Standard deviation0.2961473296
Coefficient of variation (CV)-0.3338013129
Kurtosis24.67111356
Mean-0.8871964194
Median Absolute Deviation (MAD)0.0202020202
Skewness4.855265106
Sum-1099.236364
Variance0.08770324083
2021-05-28T13:37:05.117297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.9797979798 75 3.9%
 
-0.9393939394 68 3.5%
 
-0.9595959596 64 3.3%
 
-0.9191919192 52 2.7%
 
-0.8585858586 51 2.6%
 
-0.8787878788 51 2.6%
 
-0.898989899 46 2.4%
 
-0.8383838384 38 2.0%
 
-0.8181818182 32 1.7%
 
Other values (44) 154 8.0%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.9797979798 75 3.9%
 
-0.9595959596 64 3.3%
 
-0.9393939394 68 3.5%
 
-0.9191919192 52 2.7%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9595959596 1 0.1%
 
0.9393939394 2 0.1%
 
0.9191919192 4 0.2%
 
0.898989899 2 0.1%
 

BLOODPRESSURE_DIASTOLIC_DIFF_REL
Real number (ℝ)

MISSING
Distinct count423
Unique (%)34.1%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.7869969110112648
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:05.250584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.6454818674
95-th percentile-0.1288862418
Maximum1
Range2
Interquartile range (IQR)0.3545181326

Descriptive statistics

Standard deviation0.3247537192
Coefficient of variation (CV)-0.4126492933
Kurtosis4.488957244
Mean-0.786996911
Median Absolute Deviation (MAD)0
Skewness2.001638572
Sum-975.8761697
Variance0.1054649781
2021-05-28T13:37:05.364906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.701863354 25 1.3%
 
-0.7391304348 14 0.7%
 
-0.6086956522 10 0.5%
 
-0.4782608696 8 0.4%
 
-0.5527950311 8 0.4%
 
-0.5434782609 8 0.4%
 
-0.850931677 7 0.4%
 
-0.884057971 7 0.4%
 
-0.8695652174 6 0.3%
 
Other values (413) 523 27.2%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.9885332059 1 0.1%
 
-0.9871175523 2 0.1%
 
-0.9869565217 2 0.1%
 
-0.9868744873 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.945467944 1 0.1%
 
0.6956521739 1 0.1%
 
0.6770186335 1 0.1%
 
0.628458498 1 0.1%
 

BLOODPRESSURE_SISTOLIC_DIFF_REL
Real number (ℝ)

MISSING
Distinct count501
Unique (%)40.4%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.715950173319377
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:05.501995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.9849436611
Q3-0.522176479
95-th percentile0.2302915992
Maximum1
Range2
Interquartile range (IQR)0.477823521

Descriptive statistics

Standard deviation0.4191025957
Coefficient of variation (CV)-0.5853795576
Kurtosis2.36088403
Mean-0.7159501733
Median Absolute Deviation (MAD)0.0150563389
Skewness1.676070414
Sum-887.7782149
Variance0.1756469858
2021-05-28T13:37:05.624701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.6073825503 9 0.5%
 
-0.8572300183 8 0.4%
 
-0.8743624161 7 0.4%
 
-0.3718120805 7 0.4%
 
-0.2147651007 5 0.3%
 
-0.5716900549 5 0.3%
 
-0.8791946309 5 0.3%
 
-0.7144600366 5 0.3%
 
-0.5288590604 4 0.2%
 
Other values (491) 570 29.6%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9887016561 1 0.1%
 
-0.9869670556 1 0.1%
 
-0.9868579933 1 0.1%
 
-0.9864028589 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.907926119 1 0.1%
 
0.9031964509 1 0.1%
 
0.8701777755 1 0.1%
 
0.8300515836 1 0.1%
 

HEART_RATE_DIFF_REL
Real number (ℝ)

MISSING
Distinct count530
Unique (%)42.7%
Missing685
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.8178000664401248
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:05.741558image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.989821883
Q3-0.6625294151
95-th percentile-0.2651795518
Maximum1
Range2
Interquartile range (IQR)0.3374705849

Descriptive statistics

Standard deviation0.2702168575
Coefficient of variation (CV)-0.3304192169
Kurtosis3.470547546
Mean-0.8178000664
Median Absolute Deviation (MAD)0.01017811705
Skewness1.749567893
Sum-1014.072082
Variance0.07301715008
2021-05-28T13:37:05.855725image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9262086514 5 0.3%
 
-0.8958239784 5 0.3%
 
-0.5572519084 5 0.3%
 
-0.9367502726 4 0.2%
 
-0.631043257 3 0.2%
 
-0.6064461408 3 0.2%
 
-0.4465648855 3 0.2%
 
-0.4687022901 3 0.2%
 
-0.7786259542 3 0.2%
 
Other values (520) 591 30.7%
 
(Missing) 685 35.6%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9927418346 1 0.1%
 
-0.9919500347 1 0.1%
 
-0.9917243347 1 0.1%
 
-0.9908711734 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4447569305 1 0.1%
 
0.337664447 1 0.1%
 
0.2833278017 1 0.1%
 
0.2601291838 1 0.1%
 

RESPIRATORY_RATE_DIFF_REL
Real number (ℝ)

MISSING
Distinct count200
Unique (%)17.0%
Missing748
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-0.71914651694334
Minimum-1.0
Maximum0.9999999999999998
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:05.983774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.6344086022
95-th percentile0.3605222734
Maximum1
Range2
Interquartile range (IQR)0.3655913978

Descriptive statistics

Standard deviation0.4465999828
Coefficient of variation (CV)-0.6210138995
Kurtosis1.92739867
Mean-0.7191465169
Median Absolute Deviation (MAD)0
Skewness1.724571052
Sum-846.4354504
Variance0.1994515446
2021-05-28T13:37:06.105692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.7562724014 36 1.9%
 
-0.6953405018 25 1.3%
 
-0.6344086022 22 1.1%
 
-0.8172043011 20 1.0%
 
-0.8781362007 17 0.9%
 
0.09677419355 15 0.8%
 
-0.5734767025 14 0.7%
 
-0.4516129032 10 0.5%
 
-0.9390681004 10 0.5%
 
Other values (190) 398 20.7%
 
(Missing) 748 38.9%
 
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.9561290323 1 0.1%
 
-0.9533287577 2 0.1%
 
-0.9451612903 5 0.3%
 
-0.9437551696 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8096774194 3 0.2%
 
0.8064516129 1 0.1%
 
0.7894736842 1 0.1%
 
0.7670250896 1 0.1%
 

TEMPERATURE_DIFF_REL
Real number (ℝ)

MISSING
Distinct count498
Unique (%)40.5%
Missing694
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean-0.7713273419902272
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:06.228026image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.975924448
Q3-0.5946774832
95-th percentile-0.1179768945
Maximum1
Range2
Interquartile range (IQR)0.4053225168

Descriptive statistics

Standard deviation0.3176936116
Coefficient of variation (CV)-0.4118791003
Kurtosis1.707177678
Mean-0.771327342
Median Absolute Deviation (MAD)0.02407555201
Skewness1.43774708
Sum-949.503958
Variance0.1009292309
2021-05-28T13:37:06.344839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.6408730159 8 0.4%
 
-0.4253968254 7 0.4%
 
-0.9517140189 6 0.3%
 
-0.8547351525 4 0.2%
 
-0.526425955 4 0.2%
 
-0.1949241235 4 0.2%
 
-0.9764506896 3 0.2%
 
-0.9047619048 3 0.2%
 
-0.9058027583 3 0.2%
 
Other values (488) 599 31.1%
 
(Missing) 694 36.1%
 
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.9776128633 1 0.1%
 
-0.9773182957 2 0.1%
 
-0.9771378047 1 0.1%
 
-0.9771074432 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8622872972 1 0.1%
 
0.3771481044 1 0.1%
 
0.3296602388 1 0.1%
 
0.3223744292 1 0.1%
 

OXYGEN_SATURATION_DIFF_REL
Real number (ℝ)

MISSING
Distinct count187
Unique (%)15.1%
Missing686
Missing (%)35.6%
Infinite0
Infinite (%)0.0%
Mean-0.8869818852448832
Minimum-1.0
Maximum1.0
Zeros0
Zeros (%)0.0%
Memory size15.2 KiB
2021-05-28T13:37:06.473220image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.980333069
Q3-0.8801546392
95-th percentile-0.6288659794
Maximum1
Range2
Interquartile range (IQR)0.1198453608

Descriptive statistics

Standard deviation0.2967717487
Coefficient of variation (CV)-0.3345860312
Kurtosis24.54928275
Mean-0.8869818852
Median Absolute Deviation (MAD)0.01966693101
Skewness4.843019031
Sum-1098.970556
Variance0.08807347083
2021-05-28T13:37:06.578124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.8587086272 17 0.9%
 
-0.8788931091 16 0.8%
 
-0.9201030928 15 0.8%
 
-0.9592015793 13 0.7%
 
-0.9802316931 13 0.7%
 
-0.9596310364 13 0.7%
 
-0.9400773196 12 0.6%
 
-0.8385241454 12 0.6%
 
-0.9600515464 12 0.6%
 
Other values (177) 508 26.4%
 
(Missing) 686 35.6%
 
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.9806310528 2 0.1%
 
-0.9805327333 1 0.1%
 
-0.9804334105 6 0.3%
 
-0.980333069 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9583241939 1 0.1%
 
0.9570623871 1 0.1%
 
0.9379249835 1 0.1%
 
0.937710255 1 0.1%
 

WINDOW
Categorical

Distinct count5
Unique (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
6-12
385
2-4
385
0-2
385
ABOVE_12
385
4-6
385
ValueCountFrequency (%) 
6-12 385 20.0%
 
2-4 385 20.0%
 
0-2 385 20.0%
 
ABOVE_12 385 20.0%
 
4-6 385 20.0%
 

tags
Categorical

MISSING
Distinct count29
Unique (%)5.7%
Missing1415
Missing (%)73.5%
Memory size15.2 KiB
Motor Neurone Disease
103
Lung cancer
75
asthma
70
Lung cancer, Motor Neurone Disease
46
Smoker
 
29
Other values (24)
187
ValueCountFrequency (%) 
Motor Neurone Disease 103 5.4%
 
Lung cancer 75 3.9%
 
asthma 70 3.6%
 
Lung cancer, Motor Neurone Disease 46 2.4%
 
Smoker 29 1.5%
 
asthma, Motor Neurone Disease 20 1.0%
 
heart disease 19 1.0%
 
Lung cancer, asthma, Motor Neurone Disease 16 0.8%
 
Lung cancer, asthma 15 0.8%
 
Motor Neurone Disease, Smoker 12 0.6%
 
Other values (19) 105 5.5%
 
(Missing) 1415 73.5%
 

ICU
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1410
1
515
ValueCountFrequency (%) 
0 1410 73.2%
 
1 515 26.8%
 

Sample

First rows

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